annual report 2000 - university of oulu annual report 2000. annual report 2000 5 contents page ......

UNIVERSITY

O U L U

Edited by Leena Yliniemi

ANNUALREPORT2000

Control EngineeringLaboratoryDepartment of Processand EnvironmentalEngineeringUniversity of OuluOulu, Finland

PREFACEThe year 2000 continued with increasing activities in the Control Engineering Laboratory.Project operations now cover areas from process and biotechnical industries to electronicsproduction. International activities concentrated, in addition to student exchange, on finalisingERUDIT activities and applying for the new European Network of Excellence, EUNITE, andto arranging IFAC MM Workshop together with colleagues from the Helsinki University ofTechnology. The laboratory has also tested different teaching and learning methods includingControl Web in Internet environment.

Two new projects, both based on the results of TOOLMET project, were launched: KUHAproject is concerned with the process management in the pulp mill fibre line and belongs toTekes Process Integration Programme. PRODYNA project includes partners from paper andchemical industries and concentrates on intelligent modelling of process dynamics. Twoprojects came to an end: PALA project that was concerned with modelling of factors that effectpaper quality and SPCELE project concerning applications of Statistical Process Control inelectronics production. Four earlier projects continued also during 2001: Three of them areincluded in the Tekes technology programme “Frontiers in Metallurgy” and are concerned withthe expert system for the blast furnace control, fault diagnostics of the melting shop andcontinuous casting, and intelligent converter control applications. The fourth one is TASKOproject that is concerned with modelling in pharmaceutical industries.

The international TOOLMET Symposium was arranged for the fifth time already in Oulu inApril 2000.

The laboratory participated also in three Graduate Schools financed by The Finnish Academy:International Ph.D. Programme in Pulp and Paper Science and Technology, The GraduateSchool on Electronics and The Graduate School in Chemical Engineering. One new Doctorof Technology gained his degree during 2000.

The laboratory actively participated in ERUDIT, European Network in Uncertainty TechniquesDevelopments for Use in Information Technology, and the undersigned had the pleasure toact as the Chairman of its Technical Committee A and as a member of its Steering Committee.Student exchange continued with University of Palermo, Loughborough University, Universityof Leuven, University of Calabria and University of Rome “Tor Vergata”.

I would like to thank all our colleagues, friends, companies and institutions in Finland and abroadfor their valuable contributions to the activities of our Laboratory.

Kauko Leiviskä

Professor

ANNUAL REPORT 20004

5ANNUAL REPORT 2000

CONTENTS

Page

1 TEACHING AND RESEARCH PERSONNEL 6

2 EDUCATIONAL ACTIVITIES 82.1 University Courses 82.2 SOCRATES Programme 11

3 LABORATORY FACILITIES 12

4 RESEARCH 124.1 Learning Environments 124.2 Intelligent Methods 124.3 Process Control 134.4 Fault Diagnosis 164.5 Intelligent Process Analysis 17

5 THESIS 205.1 For the degree of Doctor of Technology 205.2 For the degree of Diploma Engineer 205.3 Teacher Education 21

6 CONFERENCES AND MEETINGS 22

7 PARTICIPATIONS 22

8 PAPERS AND PUBLICATIONS 25

9 GUESTS AND VISITS 30

10 OTHERS 30

ANNUAL REPORT 20006

1. TEACHING AND RESEARCH PERSONNEL

LEIVISKÄ Kauko Dr., ProfessorHead of the Laboratory

YLINIEMI Leena Dr.Chief Eng.

AHOLA Timo Dipl. Eng.Researcher(Papsat Graduate School until 31.7.)

AINALI Iiris StudentResearcher 9.10. -

GEBUS Sebastien StudentResearch Assistant 1.9. -

HARTIKKA Mika M.Sc.(Chem.)Researcher 1.11. -

IKÄHEIMONEN Jouni Dipl. Eng.Researcher

IMMONEN Petteri Studentpart-time teaching assistant 14.2. - 24.3.

ISOKANGAS Ari StudentPart-time research assistant until 31.3.full-timer from 1.4.

JAAKO Juha Dr.Senior Assistant

JOKINEN Timo Dipl. Eng.Research Assistant until 29.2.Part-time researcher 1.3. -30.4.

JOENSUU Pasi StudentResearch Assistant 2.5. - 31.8.part-time 1.9. - 31.10.

JUUSO Esko Dipl. Eng.Senior Assistant

JÄVÄJÄ Ella Dipl. Eng.Researcher from 17.7.

KANGAS Pekka StudentResearch Assistant until 31.1.

KESKI-SÄNTTI Jarmo Dipl. Eng.Researcher until 31.5.

KOSKINEN Jukka Lic. Tech.Researcher

LEIVISKÄ Marko StudentResearch Assistant 15.5. - 5.9.

LINDFORS Juha Lic. Tech.Assistant

7ANNUAL REPORT 2000

MURTOVAARA Sakari Dipl. Eng.Researcher until 16.4.

MYLLYNEVA Jaakko Dipl. Eng.Researcher until 30.11.

MÄKI Timo Student.Researcher

NÄSI Jari M.Sc.Researcher from 1.10.

PIRTTIMAA Mika StudentResearcher

POSIO Jani StudentResearch Assistant 22.5. - 31.8.part-time 1.9. - 31.12.

PRINSSI Harri StudentResearch Assistant from 1.10.

RANDAZZO Anna Maria StudentResearch Assistant(SOCRATES-exchange) 4.2. - 30.6.

RENTOLA Ismo StudentResearch Assistant from 1.11.

ROBINSON Michelle StudentResearch Assistant(SOCRATES-exchange) 4.2. - 31.8.

RUUSKA Jari Dipl. Eng.Researcher

SAARELA Antti StudentPart- time research assistant from 1.11.

SILVEN Tuomas M.Sc.Researcher 1.7. - 30.9.

SIVONEN Jukka StudentResearch Assistant 15.5. - 15.8.part-time 1.9. -31.12

VIINIKAINEN Petri StudentPart-time research assistant 1.1. - 30.4.full-timer 1.9. - 30.11.

VOUTILAINEN Jussi Dipl. Eng.Researcher until 23.4.

VÄHÄNIKKILÄ Satu StudentResearch Assistant 2.5. - 31.8.

YLIKUNNARI Jukka StudentPart-time research assistant until 30.4.

ANNUAL REPORT 20008

2. EDUCATIONAL ACTIVITIES2.1 University Courses

Introduction to Control EngineeringThe lectures were held over a period of five weeks, six hours per week in the autumn term.The course was for the students in the third year.

Lecturer: Professor Leiviskä

Contents:- goals of automation in industrial production- specifications and documentation of instrumentation- principles of measurements, analyser and sensor types, application, installation and

purchase of different industrial instruments- introduction to characteristics, application and dimensioning of the final control

elements such as actuators, positioners, valves, dampers, pumps, and motorsThere was no special textbook.

In laboratory exercises the principles of pressure, level and temperature measurementsand controls were studied.

Process Control Engineering IThe lectures were held over a period of five weeks, six hours per week in the spring term.The participants were students in the third year. The exercises were four hours per week;two teachers were simultaneously used.

Lecturer: Professor Leiviskä - Exercises: Dr. Juha Jaako & Petteri Immonen

Contents:- basics of process models and dynamics- lumped parameter models- distributed parameter models- practical examples of different unit processes such as chemical reactors, distillation

columns and heat exchangers.

There was no special textbook.Course home page: http://ntsat.oulu.fi/ps1/

In laboratory exercises modelling was studied with simulations.

9ANNUAL REPORT 2000

Process Control Engineering IIThe lectures were held over a period of five weeks, six hours per week in the spring term.This course was for the students in the third year.

Lecturer: Professor Leiviskä

Contents:- statistical processing of measurement information- design of process experiments- regression analysis- test signals and dynamic modelling

There was no special textbook; some references were made to Diamond W.J., PracticalExperiment Designs. Lifetime Learning Publications. Belmont, California, 1981. 348 p.In laboratory exercises the experimental identification of a laboratory flow process wasstudied.

Process OptimisationThe course was held over a period of five weeks, ten hours per week in the autumn term.This course was for the students in the fourth year. MATLAB® and interactive teachingmethods were used. Students made a course portfolio; there was no exam.

Lecturer: Senior assistant, Dr. Juha Jaako

Contents:- Specification and formulation of optimisation problems of industrial processes and

plants.- Optimisation methods: unconstrained methods (univariate and multivariate func-

tions, first and second derivative methods, non-derivative methods, methods forsums of squares), penalty function methods, Lagrangian methods, linear program-ming, discrete dynamic programming and use of random numbers in optimisation.

- Nonlinear parameter estimation (fitting model functions to data).- Use of MATLAB® in optimisation and Matlab® Optimization Toolbox.

Course material:1. Edgar T F & Himmelblau D M (1988), Optimization of Chemical Processes. McGraw-

Hill 1988. ISBN 0-07-018991-9. 652 p.2. Home page: http://ntsat.oulu.fi/psiv.html

http://ntsat.oulu.fi/optimointi/3. Jaako J (1997) Laskuharjoitusmoniste kurssiin 47434S Prosessien optimointi, Moniste

50, Prosessitekniikan osasto, Oulun yliopisto, Oulu 1997, 117 p.,ISBN 951-42-4662-4.

4. Internet Publication: http://ntsat.oulu.fi/optimointi/ps4_lm.pdf (in Finnish).5. Leiviskä K & Jaako J (1998) Kokeiluluentomoniste kurssiin 47434S Prosessien

optimointi. Prosessitekniikan osasto, Oulun yliopisto, Oulu. 91 p. Internet Publication:http://ntsat.oulu.fi/optimointi/ps4_lm.pdf

ANNUAL REPORT 200010

6. Ray W H & Szekely J (1973), Process optimization. John Wiley & Sons, Inc., New York,1973. 371 p.

7. Reklaitis G V, Ravindran A & Ragsdell K M (1983), Engineering Optimization - Methodsand Applications. John Wiley & Sons 1983. ISBN 0-471-05579-4. 684 p.

In the exercise work optimisation methods are applied to process problems.

Fuzzy-neuromethods in process automationThe lectures and computational exercises of this course were held over a period of fiveweeks, four hours of lectures and two hours of exercises per week and a seminar in thespring term. The participants were students in the fourth year.

Lecturer: Senior Assistant Esko Juuso

Contents:- principles of fuzzy set systems - neural networks- fuzzy calculus - fuzzy-neuro systems- fuzzy reasoning - genetic algorithms- fuzzy control - linguistic equations- applications to process automation- software tools FuzzyCon and Matlab® (Fuzzy Logic Toolbox and Neural Network

Toolbox)There was no special textbook; some references were made to:1. Babuska, R., Fuzzy Modelling for Control. Kluwer Academic Publishers, Boston, 1998.2. Brown, M. & Harris, C., Neurofuzzy Adaptive Modelling and Control. Prentice Hall,

New York, 1994.3. Driankov, D., Hellendoorn, H. & Reinfrank, M., An Introduction to Fuzzy Control.

Springer, Berlin, 1993.4. Verbruggen, H. B., H.-J. Zimmermann & R. Babuska, Fuzzy Algorithms for Control,

Kluwer Academic Publishers, Boston, 1999.5. Zimmermann, H.-J., Fuzzy Sets Theory and its Applications. Kluwer, Dordrecht, 1991.6. Kosko, B., Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to

Machine Intelligence. Prentice Hall, Englewood Cliffs, New Jersey, 1992.7. Davis, L. (ed.), Handbook of Genetic Algorithms. Van Nostrand Reinhold, NewYork,

1991.8. http://ntsat.oulu.fi/Fuzzy_neuro/

In the exercise work the principles of fuzzy set systems, fuzzy control, neural networks andgenetic algorithms were studied.

11ANNUAL REPORT 2000

SimulationThe lectures and computational exercises of this course were held over a period of fiveweeks, four hours of lectures and two hours of exercises per week in the autumn term.The participants were students in the second year.

Lecturer: Senior Assistant Esko Juuso

Contents:- process simulation and modelling - simulation in automation- modular simulation systems - simulation languages- equation oriented simulation - discrete event simulation- dynamic simulation - hypermedia in simulation- distributed interactive simulation- physical and thermodynamic data in simulation- computational intelligence in steady-state and dynamic simulation

There was no special textbook.Home page: http://ntsat.oulu.fi/Simulointi/In the exercise work a basic course in the Matlab® and Simulink programming was given.Principles of different simulation approaches were studied.

2.2 SOCRATES Programme

Teacher and student exchangesThe laboratory has co-operation contracts under the SOCRATES-exchange programmewith the following universities: University of Loughborough from England, University ofLeuven from Belgium and University of Calabria, University of Naples and University ofPalermo from Italy. Also the laboratory has a bilateral exchange contract with theUniversity of Rome “Tor Vergata”. The contracts include both teacher and studentexchanges. During the year 2000 one of our students studied in the University ofLoughborough and one in the University of Calabria. Correspondingly one student fromthe University of Loughborough and one student from the University of Palermo studiedin our laboratory under the SOCRATES-programme. One student from France as a freemover studied in our laboratory.


3. LABORATORY FACILITIES

The biggest investment in the laboratory during 2000 was the updating of Damatic XDiautomation system to the new nelesDNA_EA system. Also the information system XISwas replaced by the nelesDNA_IA information system. Two pilot scaled processes areconnected to nelesDNA system, one is a rotary dryer and the other is equipment forexamining pulp manufacturing.New laboratory process equipment for students was designed and built. The equipmentsupporting the course “Introduction to Control Engineering” includes basic measurementand control instruments as temperature, flow and level which can be demonstrated duringthe course. A PID controller from OMRON controls the level of a vessel.

4. RESEARCH

4.1 Learning Environments

Using WWW to Support Control Engineering Learning

(J. Lindfors)The fast development in the field of process automation together with reduction inteaching resources, and increasing number of students forces educational establishmentsto consider new and more effective learning methods. The recent development in thefields of hypermedia, computer, and network technology makes it possible to utilisecomputer and network based learning to meet these new demands. Since 1997 ControlEngineering Laboratory at the University of Oulu has used a web server as an informationchannel to support teaching. The web utilises basic web technology, although theintegration with new learning environment programmes is under consideration. At themoment, Control Engineering Laboratory is building a learning environment on the basicweb environment. Into this environment, such components that will extend the basicconcept of the learning environment are included.

4.2 Intelligent Methods

Linguistic Equation Approach

(E. Juuso)For the Linguistic Equation (LE) approach, additional interactive tools have beendeveloped for combining expertise with simulation and experiments with real systems.Integration of the LE approach with other intelligent techniques and statistics has beencontinued. Fuzzy clustering, self-organising maps, competitive networks and radial basisnetworks have been used for clustering in the data pre-processing to find differentoperating conditions. A new approach of linguistic networks has developed by introducingscaling with membership definitions to various types of neural networks. The ANFISmethod has been modified for developing multi-model linguistic equation systems.


Another approach for making multi-model systems is to use clustered data. The combinedsystems have been tested in intelligent analyser applications.

The generic dynamic LE simulator approach has been improved and tested with realprocess data from various processes (batch cooking, solar collector field, lime kiln, wastewater treatment, fluidised bed granulator). In present systems, several interactive dynamicLE models have been successfully combined. The simulator can handle varying delays andchanging operating conditions. The dynamic LE models were implemented in Matlab®-Simulink environment and used in controller tuning. Linguistic fuzzy systems developedwith Fuzzy-ROSA method were combined with the LE model of the solar collector fieldin co-operation with University of Dortmund.Methodologies for detecting different operating conditions and fault situations bycombining linguistic equation and fuzzy logic with Case-Based Reasoning (CBR) has beencombined with special pruning methods for selecting equations to find models withdetectable differences between cases. This generic approach is now used in both data-based and knowledge-based system development. Development methods of fuzzysystems from linguistic equations have been improved, and the performance of thelinguistic equation systems can be transferred to the conventional fuzzy systems on anappropriate level. According to the application experience, the LE approach is taking overthe fuzzy methods in basic level applications, and fuzzy methods are moved to higher-leveltasks in combining smoothly different subsystems.

The automatic generation and tuning system has been widely used in development ofindustrial applications:

- control (solar power plant, lime kiln),- fault diagnosis (web break indicator),- intelligent analysers (cooking characteristics),- modelling (solar power plant, lime kiln, waste water treatment)- quality forecasting (quality forecasting for electronics manufacturing).

The linguistic equation controller implemented in G2 has been in continuous industrial usein a lime kiln. Testing of the linguistic equation controller of the solar power plant wascontinued with the new dynamic simulator. A new LECont concept has been developedon the basis of the multilevel LE controllers.All the new features are included to the application generation toolbox FuzzEqu, and mostof the researchers are now using the system.

4.3 Process Control

Lime Kiln Control

(E. Juuso)The linguistic equation controller implemented in commercial G2 software has beenupdated and is now in daily on-line use at UPM Kymmene Pietarsaari mills. The multilevelPI-type LE controller with braking action has been extended into a new LECont concept.The targets are determined by a StabOpti concept on the optimisation level. Nonlinear


models obtained from process data are used for optimisation and compensation of loaddisturbances. According to the test results from the pulp mill, operational flexibility wasimproved and both economic and ecological benefits were obtained. The overall controlsystem provides better insight into the process and extends the scope of both fuzzy logicand advanced extensions of classical control.This project was done in co-operation with UPM Kymmene Wisaforest and PronyxControl Software.

Self-Tuning Fuzzy Logic Controller of a Rotary Dryer

(M. Robinson, A-M Randazzo, L. Yliniemi)The research concerning the modelling and control of a rotary dryer was continued withthe aim to examine the applicability of three different fuzzy adaptive tuning methods forthe control of the output moisture of solids in the pilot plant dryer. The simulations arebased on the mathematical model of the pilot plant dryer implemented in Matlab®functions. The proposed controllers have been constructed using Simulink® and FuzzyLogic Toolbox®. Step changes to the input moisture of solids were made for examiningthe control behaviour of the dryer. The results achieved by non-adaptive and adaptive fuzzyand hybrid controllers where the FLC is combined with the PI controller were comparedboth qualitatively and quantitatively.

Dynamic Control of LD-KG Converter

(J. Ruuska, K. Leiviskä)Converter control is based on static and dynamic models. Raw material intakes and oxygenrate are calculated with static models. The temperature target is calculated with separatemodels that take all process stages from the converter to the continuous casting intoaccount.This project aims to improve the dynamic control of the LG-KG converter. Dynamiccontrol aims to calculate accurately the blow end point and to decrease the need foradditional blowing or cooling. Improved dynamic control also responds to inaccuracies inmaterial feed and disturbances during the converter process. The starting point of thework is the existing prototype for a fuzzy logic controller. The model calculates the increaseof temperature with a standard model and the structure of model changes as on-linemeasurement of temperature from drop-in sensor is received. Process data from theconverters of Rautaruukki Steel is used to categorise suitable heats as database to formthe computing model. Online tests to specify the effects of additional chemicals will beorganised in January and February 2001.The project is carried out in co-operation with Rautaruukki Raahe Steel and it is a partof a bigger project financed by Tekes (Frontiers in Metallurgy). Other members in theconsortium are the Laboratory of Metallurgy in the Helsinki University of Technology, theLaboratory of Process Metallurgy in the University of Oulu, Fundia Wire Oy Ab andOutokumpu Polarit Oy.


Iron Tapping Expert System of Blast Furnace

(J. Myllyneva, H. Prinssi, J. Ruuska, K. Leiviskä)The aim of this project is to improve the control of the tuyere level of the blast furnaceand to lengthen the campaign time of the hearth. The iron and slag have to be removedfrom the hearth properly and the practice of tapping has to be standardised. This will bedone with the iron tapping expert system, which gives instructions to the operators.The diploma work “Evaluation of Measurements Associating Iron Tapping Expert System”was made during the project.

Measurements associated in the blast furnace tap hole plugging process are under researchtogether with the knowledge acquisition for the expert system. After research anddevelopment, tap hole plugging can be included in the expert system that gives instructionsto the operators. The diploma work concerning the subject will be finished in spring 2001.This project is done in co-operation with Rautaruukki Raahe Steel, Fundia, Heat TransferLaboratory in the Åbo Akademi, and the Laboratory of Process Metallurgy in theUniversity of Oulu and it is financed by TEKES (Frontiers in Metallurgy).

Control in High Consistency Groundwood Peroxide Bleaching

(J. Posio, K. Leiviskä)The purpose of this study is to improve the current control of groundwood peroxidebleaching or to develop a new control solution.The main control objective in the bleach plant control is to achieve the desired finalbrightness with low level of variations, and without negatively affecting the strengthproperties of final pulp. Other objectives in groundwood bleaching are to reduce thechemical consumption and environmental effluents, but to maintain the high yield.

The control of groundwood pulp bleaching includes some major problems, which arenowadays solved only partially. Generally the valid optimum bleaching conditions are verydifficult to define, because the secondary effects of variable interactions and side reactionsare not completely known. On the other hand, high consistency requires more accurateretention time definition, but normally it is not known precisely. Also, there are alwaysdisturbances, which can not be measured. Process conditions make measurementsproblematic, and there is a need for more reliable instrumentation, for residual peroxideand sample brightness. Furthermore, there are only a few available control solutions, andthey mostly originate from chemical bleaching control. However, the expected savingspotential is considerable if the successful control is achieved.This project is in co-operation with the Laboratory of Mechanical Process Engineering atthe University of Oulu and UPM-Kymmene Ltd.


Statistical Process Control and Intelligent Information Systems in ElectronicManufacturing

(M. Pirttimaa, K. Leiviskä)The aim of this research was to improve the quality level of the electronic manufacturingprocesses by using intelligent information systems and Statistical Process Control (SPC).The study focused on paste printing and wave soldering. The target was to find out thequality parameters, which can be directly measured and analysed, and obtained data willbe applied in the process control. Fast and reliable feedback is required if world-classquality is desired.Traditionally in the electronic manufacturing industry each production machine andcontrol apparatus has been built by a different supplier, and therefore, the production lineconsists of separate, individual and independent automation islands without real timeinformation exchange. Even though there is a lot of data available, it has neither beencontinuously collected nor analysed. The possibilities created by modern computers andlatest software have not been fully utilised.During the project extensive mill tests on paste printing were carried out in order toanalyse the effect of process variables on the product quality. Also the effects of operationalpractices and environmental factors were studied. The main finding was that operationalpractices have a considerable effect on quality and bad practices are difficult to compensatefor by adjusting the process parameters.

This project was done in co-operation with Mikrolli Oy, Tellabs Oy, Incap Electronics Oyand Jutron Oy. Financing came from the companies and TEKES.

4.4 Fault Diagnosis

Development of Web Break Sensitivity Indicator

(T. Ahola, J.Ruuska, S.Penttinen, E. Juuso, K. Leiviskä)The purpose of this study was to design an indicator for the prediction of the breaksensitivity. The web break sensitivity indicator would give the process operators acontinuous indication of web break sensitivity in an easily understandable way. Being ableto indicate break risk and avoid breaks has two major benefits: the machine efficiency isincreased directly and fewer disturbances in the process improve process stability andefficiency.On-line tests of the prototypes were carried out during the time period from summer1999 to spring 2000. During these tests the indicator was connected to the Damatic XDautomation system using DDE-link. There were altogether 8 different periods of on-linetests. During these tests there were 105 web breaks with no distinct reason, in which68 % of the web break sensitivity was rising when the break occurred.This project was a part of the TOOLMET/Modipro project and was done in co-operationwith Valmet Oyj. Part of the financing came from the International Ph.D. Programme in Pulpand Paper Science and Technology.


Fault Diagnosis in the Quality Control of the Melting Shop

(J. Ikäheimonen, J. Ruuska, I. Rentola, A. Saarela, K. Leiviskä)The aim of the project has been to test and develop methods of model-based faultdiagnosis in the melting shop of the steel mill. Two problems were addressed: nozzleclogging in continuous casting and transverse cracking of the rolled products.Nozzle clogging occurs with aluminium-killed steels. The occurrence of this fault wasanalysed, based on extensive material from 11 600 heats from four casters. The totalamount of variables was 67. The material was analysed with standard statistical methodsand self-organising maps. Standard backpropagation was used in modelling that aimed toestimate the number of heats and cast tons before the nozzle must be changed. Severalmodels are under test.During 2000, the basic data collection for modelling another fault, transverse cracking wasdone. Modelling will proceed during 2001.

The project is a part of a bigger consortium of two control laboratories from HelsinkiUniversity of Technology. Rautaruukki Oyj is the industrial partner and the project isfinanced by TEKES.

4.5 Intelligent Process Analysis

Modelling of Pulp Cooking by Using Linguistic Equations

(E. Jäväjä, I. Ainali, L. Rahikka, E. Juuso, K. Leiviskä)The aim of this project is to develop linguistic equation (LE) models for pulp cookingSuperBatch process. Data-based modelling has been done with the application generationtoolbox FuzzEqu using measurements of the Cooking Liquor Analyser, CLA 2000, anadvanced measurement device developed for analysing the chemical pulping processes.It measures the liquor concentrations (alkaline, total dissolved solids and lignin content)from the liquor circulation of the batch digester.With these measurements it is possible to estimate the development of the cookingprocess long before the end of the cook. The dynamic model is supposed to forecast thecooking result. Data has been collected from the UPM-Kymmene Wisaforest pulp mill. Theprototype Linguistic equation model has been tested on-line at the mill site.This project is a part of KUHA project and is done in co-operation with ABB Industry andUPM-Kymmene and financed by the companies and TEKES.

Modelling of Wood Handling by Using Linguistic Equations

(A. Isokangas, E. Juuso, J. Näsi, K. Leiviskä)The aim of this project is to develop intelligent models for the wood handling process. Thelinguistic equation (LE) models for wood losses are based on several equations developedfrom data obtained with VisiBark measuring device of Valmet Woodhandling. A newmodification of the ANFIS method has been used in developing the LE models. Fuzzy


clustering has been applied to find different operating conditions from the data. Modelshave been developed for the individual clusters corresponding to different wood quality.Considerable process improvements have been gained by improving the control strategy.The present LE models have reasonable performance in the normal operating area. Thefurther analysis of the changing operating conditions is based on clustered data anddynamic simulation.

This project is a part of KUHA project and is done in co-operation with Neles Automation,Valmet Woodhandling and UPM-Kymmene Wisaforest and is financed by the companiesand TEKES.

Modelling of Sheet Properties Based on NIR Spectral Analysis

(J. Koskinen, K. Leiviskä)This project (PALA 3) is part of PALA project and its aim is the prediction of hand sheetproperties of thermomechanical pulp for on-line use in the TMP plant.

TMP Quality Analyser (TQA) is a novel measurement device, which measures in-line theNIR-spectra from the blow line after the TMP refiners. Models for predicting sheetproperties (tear index, tensile index, light scattering) are calibrated using the NIR spectrameasured by the TQA and laboratory values of sheets. The samples for the laboratoryanalysis were collected from a Finnish pulp mill.The model parameters are tuned using Partial Least Squares method. In the model testing,the prediction model of tensile index showed the best results.This project was done in co-operation with the Tampere University of Technology, UPM-Kymmene, ABB Industry Oyj and it is financed by TEKES.

Intelligent Modelling and Dynamic Simulation of a Fluidised Bed Granulator

(T. Mäki, E. Juuso, K. Leiviskä)The aim of intelligent dynamic simulation is to improve the control of the fluidised bedgranulator. The modelling and simulation was done on the basis of data collected from testcampaigns for theophylline with a fluidised bed granulator, Glatt WSG 5.The three main process steps in the granulation process are mixing, spraying and drying.The modelling was done by FuzzEqu toolbox based on Linguistic Equations approach.Additional batches are required to develop steady state models for handling differentoperating conditions. The dynamic variable is the temperature, and the driving force is thetemperature difference between the present one and the calculated new one. Finally thechange depends on the operating conditions.According to the results, the spraying and drying processes include short-duration periods.Because of that, several different kind of models were needed for every spraying and dryingbatch. The difference between simulated and real data varied only from 0.5 to 2°C. Thesmallest difference was in the middle of spraying and drying and the highest in the beginningof spraying. By median and average methods more stable data and better models were


achieved. New dynamic models developed for moisture and granule size have beencombined with the temperature models. Simulation of the granule growth is based ontemperature and moisture changes.

This project was done in co-operation with the University of Helsinki PharmaceuticalTechnology Division and Orion Pharma and financed by Orion and TEKES.

Dynamic Simulation with Linguistic Equations Applied to a Solar Collectors Field

(E. Juuso)The Linguistic Equation Controller of a solar collectors field proved to have a highperformance on the whole working area during the earlier test campaigns at PlataformaSolar de Almeria (PSA). The LE simulator developed for further tuning operates within 2°Caccuracy in steady weather conditions. Oscillatory conditions are also handled correctly.For variable radiation conditions, the operation is also reasonable. The robust overallbehaviour is achieved with the smooth multiple model LE approach. The dynamic LE modelhas been combined with fuzzy models developed with the Fuzzy-ROSA method.According to the results, the hybrid system improves the simulation results in severalspecial cases without deteriorating the previous performance outside these cases.Development of the hybrid approach is continued with additional process data in co-operation with University of Dortmund and PSA. The fuzzy rules developed with theFuzzy-ROSA method will be analysed with the FuzzEqu Toolbox, and the aim is to transferpart of the rule-based models into the LE simulator.


5. THESIS

5.1 For the degree of Doctor of Technology

Karppanen Erkki

Advanced control of an industrial circulating fluidized bed boiler using fuzzy logic

AbstractCirculating Fluidized Bed (CFB) boilers are widely used for multi-fuel combustion of wasteand bio-fuels. When several non-homogeneous fuels, having varying heat values, areburned simultaneously, the boiler control system can be affected by various controlchallenges, especially since it is not feasible to reliably measure the energy content of themulti-fuel flow. In order to fulfil energy production needs and maintain the ability to burnlow grade fuels, co-firing with high heat value fuels such as gas, oil or coal is needed.

Fuzzy Logic Control (FLC) has been successfully used for solving control challenges, wherethe operator’s process expertise can be transformed into automation. Real life controlobjects are often non-linear because the dynamics change with the operating point, orthere might be other essential non-linearities in the combustion process.The proposed fuzzy control applications were developed to solve control challenges theoperators meet in daily operation of a 150 MW(th) CFB at Varenso Oy’s (Stora Enso Oyj)K6 boiler in Varkaus Finland. Before implementing the applications in the fullscale boiler,they were tested at a 2 MW(e) pilot plant boiler at Foster Wheeler Energia Oy’s ResearchCenter in Karhula, Finland.

According to the industrial experiments, the four applications (steam pressure control,compensation of fuel quality fluctuation, fuel-feed optimisation and increased bedinventory monitoring) discussed in this thesis, showed satisfactory performance andvarious improvements to the boiler control were achieved. Fuzzy logic control was shownto be a notable tool to improve the multi-fuel CFB boiler control.Keywords: multi-fuel combustion, steam pressure control, optimisation

5.2 For the degree of Diploma EngineerAlatalo Sanna The temperature control of a plate mill

Haapalainen Jukka Built-in quality control in JOT modulesIsokangas Ari Modelling and optimising wood losses of drum debarkingJokinen Timo Quality Forecasting Tool user interface for electronics

manufacturing

Kaasila Marko Modular structure of expert system for controlling irontapping

Keinänen Pasi Finding ways to develop the washing, water circulationsand operation of an ECF bleaching process


Kivelä Satu Control of the carbon content of the BOS by fuzzycontrol

Kumara Timo The use of WIC 100 data in paper mill wet end processcontrol

Lehmus Maija Operation and quality reporting of a drying machine inthe modern pulp mill

Niemelä Tanja Efficient use of the information system in productioncontrol

Niiranen Marko A method for estimating the general performance of acomputer and an application to distributed networkmonitoring system

Peltonen Teemu Charting and optimising the factors influencing material efficiency in art quality producing paper machine line

Poutilainen Jussi Burn-through management in sintering machine by fuzzyspeed control

Puurunen Mika Alarms classification in a generic fault diagnosticarchitecture

Söderström Satu Spectroscopic characterisation of pulp strength propertiesUusipaavalniemi Jussi Development of a rule based expert system controller

Uusitalo Mikko The optimal drying strategy for coated paperboardViirret Katja Intelligent methods in the dosing control of wastewater

purification chemicals

Voutilainen Jussi Evaluation of measurements associating iron tappingexpert system

Ylimaula Janne Spectroscopic characterisation of mechanical pulp

5.3 Teacher EducationDr. Juha Jaako completed 19.05.2000 his formal teacher education (35 cr) at the Schoolof Vocational Teacher Education, Oulu Polytechnic, Oulu.


6. CONFERENCES AND MEETINGS

TOOLMET2000 - 5th International Symposium on Tool Environments and DevelopmentMethods for Intelligent Systems was held during April 13-14 in the Linnanmaa universityarea. The aim was to bring together scientists and practitioners from universities andindustries to discuss from the latest development of intelligent methods and theirapplications. There were close to 50 participants.The workshop was composed of two plenary presentations. Dr. Harald Peters fromBetriebsforschunginstitut, Dept. of “AI-Techniques and Data-based Models”, Dusseldorf,Germany gave the lecture on “Application of Computational Intelligence for QualityControl in Steel Production”. The other plenary lecturer was Dr. Marc Thuillard fromSiemens Building Technologies AG, Cerberus Division, Maennedorf, Switzerland. Hislecture dealt with the Fuzzy Logic in the Wavelet Framework. There were also interactivesessions for posters and software presentations. The sessions from industrial applications,from methods and tools and from data analysis included 17 scientific and appliedpresentations. The proceedings are available.The workshop originated from a major national project Tool Environments and Develop-ment Methods (TOOLMET) that belonged to the Finnish Technology ProgrammeAdaptive and Intelligent Systems Applications financed by TEKES.

7. PARTICIPATIONS

Professor Kauko Leiviskä participated in- TOOLMET2000 Symposium, Oulu, April 13-14, 2000- Steering Committee Meetings of ERUDIT Network of Excellence, Palma de

Mallorca, April 1, and Aachen, Germany, Sept. 15.- European Symposium on Intelligent Techniques, Aachen, Germany, Sept. 14-15.- Second Conference on Management and Control of Production and Logistics,

July 5-8, Grenoble, France.- IFAC Workshop on Future Trends in Automation in Mineral and Metal Processing,

23-24 August, Helsinki/Stockholm.- STeP 2000 - Millennium of Artificial Intelligence, the 9th Finnish Artificial Intelligence

Conference, 28-30 August, Espoo, Finland.- Annual Seminar “Adaptive and Intelligent Systems Applications”, Dipoli, Espoo,

24.8.2000- Control of Metallurgical Processes, 23-24.10, POHTO, Oulu, Finland.- Campus Futurus Seminar on Virtual University, 25.1. Oulu, Finland.- Koulutusteknologiatori 2000, 23-24.11, Oulu, Finland.- Frontiers of Metallurgy, Annual Seminar, 21.8. Espoo, Finland.


Chief Engineer Leena Yliniemi participated in- Campus Futurus Seminar on Virtual University, 25.1. Oulu, Finland- TOOLMET2000 Symposium, Oulu, April 13-14, 2000 acting as chair in the session

“Industrial Applications”- ACE2000- IFAC/IEEE Symposium on Advances in Control Education December

17-19, 2000, Australia Gold Coast presenting a paper “Using WWW to supportControl Engineering Training” and acting as chair in the session “Laboratory Toolsand Experiments”

- IFAC Workshop, Future Trends in Automation in Mineral and Metal Processing,Finland. Helsinki/Stockholm, August 22 - 24, 2000 acting as chair in the session“Hydrometallurgy”

- Seminar “ Hallitsetko työsi vai hallitseeko työ sinua”, September 7-10, 2000,Enontekiö, Finland acting as chair of the seminar

- Koulutusteknologiatori 2000, November 23-24, Oulu, Finland

Senior Assistant Esko Juuso participated in- International Seminar “Maintenance, Condition Monitoring and Diagnostics”,

Annual Seminar “Electronics for the Information Society - ETX”, Vantaa, February2, 2000.

- Seminar “On-line Measurements in the Process Industry: Analysis of MeasurementData and Moisture Measurement Technologies”, Espoo, March 21, 2000, giving apresentation “Process Trend Analysis”.

- TOOLMET2000 Symposium, Oulu, April 13-14, 2000, giving presentations “Intel-ligent Methods in Dosing Control of Wastewater Purification Chemicals”, “Com-bination of Linguistic equations and the Fuzzy-ROSA Method in Dynamic Simula-tion of a Solar Collector Field” and “Linguistic Equations for Data Analysis: FuzzEquToolbox”.

- Annual Seminar “Adaptive and Intelligent Systems Applications”, Dipoli, Espoo,August 24, 2000.

- Seminar “Intelligent Systems and Architectures”, Dipoli, Espoo, August 25, 2000.- STeP 2000 - Millennium of Artificial Intelligence, the 9th Finnish Artificial Intelligence

Conference, 28-30 August, Espoo, Finland, giving a presentation “Fuzzy Systems inIntelligent Systems Applications”.

- Seminar “Reliability Electronics for the information society - ETX”, Vantaa, August30, 2000, giving a presentation “SPC and Intelligent Methods in ElectronicsManufacturing”.

- European Symposium on Intelligent Techniques, Aachen, Germany, Sept. 14-15,giving a presentation “Knowledge and Data Integration with Linguistic Equations”.

- SIMS 2000 - 41st SIMS Simulation Conference, Lyngby, Denmark, Sept. 18-19,POHTO, Oulu, October 2-3, 2000.

- Annual Seminar “Process Integration”, Helsinki, November 7, 2000, giving a posterpresentation “Process Integration and Intelligent Control in Pulp Mill”.


Researcher Timo Ahola participated in- TOOLMET-2000 Symposium, Oulu, Finland, 13-14 April, 2000, giving a presenta-

tion “LE Based Web Break Sensitivity Indicator”.

Researcher Timo Jokinen participated in- TOOLMET-2000 Symposium, Oulu, Finland, 13-14 April, 2000, giving a presenta-

tion “Quality Forecasting Tool for Electronics Manufacturing”.

Researcher Ella Jäväjä participated in- Annual Seminar “Process Integration”, Helsinki, November 7, 2000, giving a poster

presentation “Process Integration and Intelligent Control in Pulp Mill”.

Researcher Jukka Koskinen participated in- IFAC Workshop, Future Trends in Automation in Mineral and Metal Processing,

Finland, Silja Serenade, 22 - 24.8.2000, giving a presentation "Fuzzy Modelling of aRotary Dryer".

Assistant Juha Lindfors participated in- Controlo’2000 Conference, 4- 6. Oct. 2000, Guimares, Portugal, giving a presen-

tation “Using Simulations to Support Control Engineering Learning”.

Researcher Timo Mäki participated in- TOOLMET-2000 Symposium, Oulu, Finland, 13-14 April, 2000, giving a presenta-

tion “Multiple Model Dynamic Simulation of a Fluidized Bed Granulator withLinguistic Equations”

- STeP 2000 - Millennium of Artificial Intelligence. Finland, Espoo. 28-30 August 2000,giving a presentation “Fuzzy Methods in Multiple Modelling and Dynamic Simulationof a Fluidised Bed Granulator”.


8. PAPERS AND PUBLICATIONS

Ahola T., Ruuska J., Juuso E., Leiviskä K.:LE Based Web Break Sensitivity Indicator. Proceedings of TOOLMET2000 Symposium -Tool Environments and Development Methods for Intelligent Systems, Oulu, April 13-14,2000 (L. Yliniemi & E. Juuso, eds), Oulun yliopistopaino, Oulu, pp. 51-62. ISBN 951-42-5595-X.

Ahola T., Ruuska J., Juuso E., Leiviskä K.:Paperikoneen katkoherkkyysindikaattori. Raportti B No 14. Oulun yliopisto, Säätötekniikanlaboratorio. Helmikuu 2000. 33 p. ISBN 951-42-5563-1.

Alajärvi K. & Juuso E.:Aikasarjoihin pohjautuva älykäs ennustaminen DataEngine-ohjelmistoa käyttäen. RaporttiB No 24. Oulun yliopisto, Säätötekniikan laboratorio. Joulukuu 2000. 23 s.ISBN 951-42-5878-9.

Donnini P. A., Murtovaara S., Juuso E. & Cardarilli G. C.:Hardware Implementation of Linguistic Equations. Proceedings of TOOLMET2000Symposium - Tool Environments and Development Methods for Intelligent Systems, Oulu,April 13-14, 2000 (L. Yliniemi & E. Juuso, eds.), Oulun yliopistopaino, Oulu, 2000, pp. 243-256. ISBN 951-42-5595-X.

Gebus S.:Process Control Tool for a Production Line at Nokia. Report A No 13. University of Oulu,Control Engineering Laboratory. December 2000. 27 p. ISBN 951-42-5870-3.

Ikäheimonen J., Juuso E., Leiviskä K. & Murtovaara S.:Sulfaattisellun vuokeitto - menetelmät, keiton ohjaus ja massan pesu. Raportti B No 21.Oulun yliopisto, Säätötekniikan laboratorio. Joulukuu 2000. 50 s. ISBN 951-42-5875-4.

Ikäheimonen J., Juuso E., Leiviskä K., Murtovaara S. & Sutinen R.:Keittolipeä- ja massa-analyysi sellun keitossa ja pesussa. Raportti B No 22. Oulun yliopisto,Säätötekniikan laboratorio. Joulukuu 2000. 35 s. ISBN 951-42-5876-2.

Isokangas A. & Juuso E.:Fuzzy Modelling with Linguistic Equations. Report A No 11. University of Oulu, ControlEngineering Laboratory. February 2000. 33 p. ISBN 951-42-5546-1.

Isokangas A. & Juuso E.:Development of Fuzzy Systems from Linguistic Equations for Kappa Number Predictionin Continuous Cooking. Proceedings of TOOLMET2000 Symposium - Tool Environmentsand Development Methods for Intelligent Systems, Oulu, April 13-14, 2000 (L. Yliniemi &E. Juuso, eds.), Oulun yliopistopaino, Oulu, 2000, pp. 257-270. ISBN 951-42-5595-X.

Jaako J.:


Säätötekniikan laboratorion opetuskokeiluja I - Portfoliomuotoisen kurssin toteutus jatulokset. Raportti B No 13. Oulun yliopisto, Säätötekniikan laboratorio. Helmikuu 2000.28 p. ISBN 951-42-5544-5.

Jaako J.:Säätötekniikan laboratorion opetuskokeiluja II - Apuopettaja opettajan apuna. Raportti BNo 17. Oulun yliopisto, Säätötekniikan laboratorio. Elokuu 2000. 22 p.ISBN 951-42-5742-1.

Jaako J. (ed.):Jatkotutkinto-ohje (Guide for post-graduate students). Prosessi- ja ympäristötekniikanosasto, Oulun yliopisto, Oulu 2000, 46 p. (in Finnish) http://ntsat.oulu.fi/jaako/jatkotutkinto-ohje.pdf

Jaako J.:Kirjallisen opiskelijapalautteen käyttö opetustyön kehittämisessä (Student feedback as acourse development tool). Pro Forma Didactica, Kevät 2000, Ammatillinenopettajakorkeakoulu, Oulun seudun ammattikorkeakoulu. (in Finnish) http://ntsat.oulu.fi/jaako/810jaakoE.pdf

Juuso E.:Linguistic Equations for Data Analysis: FuzzEqu Toolbox. Proceedings of TOOLMET’2000Symposium - Tool Environments and Development Methods for Intelligent Systems, Oulu,April 13-14, 2000 (L. Yliniemi & E. Juuso, eds.), Oulun yliopistopaino, Oulu, 2000, pp. 212-226. ISBN 951-42-5595-X.

Juuso E.:Fuzzy Systems in Intelligent Systems Applications. In: STeP 2000 - Millennium of ArtificialIntelligence. AI of Today-: Symposium of Applications. The 9th Finnish Artificial IntelligenceConference, 28 - 30 August 2000, Espoo. pp. 115 - 123. ISBN 951-22-5128-0.

Juuso E. K.:Knowledge and Data Integration with Linguistic Equations. Proceedings of ESIT 2000 -European Symposium on Intelligent Techniques. Aachen, Germany, Sept. 14-15, 2000. pp.407-415. (CD-ROM).

Juuso E. K.:Hybrid Intelligent Systems in Dynamic Process Simulation. Proceedings of SIMS 2000 - 41stSIMS Simulation Conference, Lyngby, Denmark, Sept. 18-19, 2000. pp. 267-276.

Juuso E. & Alajärvi K.:Time Series Forecasting with Intelligent Methods. Report A No 15. University of Oulu,Control Engineering Laboratory. December 2000,25 p. ISBN 951-42-5872-X.


Juuso E., Jokinen T., Ylikunnari J. & Leiviskä J.:Quality Forecasting Tool for Electronics Manufacturing. Report A No 12. University ofOulu, Control Engineering Laboratory. March 2000, pp. 37.

Juuso E., Jokinen T., Ylikunnari J. & Rönkä K.:Quality Forecasting Tool for Electronics Manufacturing. Proceedings of TOOLMET’2000Symposium - Tool Environments and Development Methods for Intelligent Systems, Oulu,April 13-14, 2000 (L. Yliniemi & E. Juuso, eds.), Oulun yliopistopaino, Oulu, 2000, pp. 102-115. ISBN 951-42-5595-X.

Juuso E. & Kangas P.:Compacting Large Fuzzy Set Systems into a Set of Linguistic Equations. Report A No 14.University of Oulu, Control Engineering Laboratory. December 2000, 23 p.ISBN 951-42-5871-1

Juuso E., Schauten D., Slawinski T. & Kiendl H.:Combination of Linguistic Equations and the Fuzzy-ROSA Method in Dynamic Simulationof a Solar Collector Field. Proceedings of TOOLMET’2000 Symposium - Tool Environ-ments and Development Methods for Intelligent Systems, Oulu, April 13-14, 2000(L. Yliniemi & E. Juuso, eds.), Oulun yliopistopaino, Oulu, 2000, pp. 63-77. ISBN 951-42-5595-X.

Juuso E., Viirret K. & Piironen M.:Intelligent Methods in Dosing Control of Wastewater Purification Chemicals. Proceedingsof TOOLMET’2000 Symposium - Tool Environments and Development Methods forIntelligent Systems, Oulu, April 13-14, 2000 (L. Yliniemi & E. Juuso, eds.), Oulunyliopistopaino, Oulu, 2000, pp. 37-50. ISBN 951-42-5595-X.

Järvensivu M., Juuso E. & Ahava O.:Tuotantoprosessien toiminnan optimointi älykkäillä järjestelmillä. Automaatioväylä,16(2000)3, 10-11.

Järvensivu M., Juuso E. & Ahava O.:Intelligent supervisory-level control of industrial processes, Paper and Timber, 82(2000)6,386-391.

Komulainen K. & Juuso E.,Vikatietojen hyödyntäminen funktionaalisessa testauksessa. Raportti B No 20. Säätötekniikanlaboratorio, Oulun yliopisto. Joulukuu 2000. 24 s. ISBN 951-42-5874-6.

Kortelainen J., Halttunen J., Leiviskä K. & Koskinen J.:PALA 1998/1999 - Model of Paper Quality and Runability Based on Pulp Properties.Tampere University of Technology. Measurement and Information Technology. Report No.55, Tampere 2000. pp. 1 - 31.


Koskinen J., Yliniemi L. & Leiviskä K.:Fuzzy Modelling of a Rotary Dryer. In: Preprints of the IFAC Workshop, Future Trends inAutomation in Mineral and Metal Processing, Finland 22 - 24.8.2000, pp. 166 - 171.

Leiviskä K.:Applications of Intelligent Systems in Electronics Manufacturing. In: Second Conference onManagement and Control of Production and Logistics, MCPL-2000, July 5 - 8, 2000,Grenoble, France. 6 p. (CD-ROM)

Leiviskä K.:Intelligent Applications in Pulp and Paper Industry. In: STeP 2000 - Millennium of ArtificialIntelligence. AI of Today-: Symposium of Applications. The 9th Finnish Artificial IntelligenceConference, 28 - 30 August 2000, Espoo. pp.175 -179. ISBN 951-22-5128-0.

Leiviskä K.:Sumeat menetelmät. Metallurgisten prosessien ohjaus 23. - 24.10.2000. POHTO,Oulu., 8 p.

Leiviskä K. & Tirri T.:Laboratory Tests of Peroxide Bleaching at UPM-Kymmene Kaukas Research Center.Internal report, Department of Process Engineering, University of Oulu, 25.1.2000. 25 p.

Lindfors J. & Kontas V.:Tutkittavana YAESU FT-100. Radioamatööri 6/2000 Vol. 51, pp. 22-23. (In Finnish).

Lindfors J., Yliniemi L. & Leiviskä K.:Using WWW to support Control Engineering Training. Preprints of ACE2000 - the 5thIFAC Symposium on Advances in Control Education. Gold Coast Australia,17-19 December 2000. 6 p.

Lindfors J., Yliniemi L. & Leiviskä K.:Using Simulations to support Control Engineering Learning. Proceedings of Controlo’2000Conference. Guimares, Portugal, 4-6-October 2000. 5 p. (CD-ROM)

Mäki T. & Juuso E.:Fuzzy Methods in Multiple Modelling and Dynamic Simulation of a Fluidised BedGranulator. In: STeP 2000 - Millennium of Artificial Intelligence. AI of Today-: Symposiumof Applications. The 9th Finnish Artificial Intelligence Conference, 28 - 30 August 2000,Espoo. pp.133-140. ISBN 951-22-5128-0.

Mäki T. & Juuso E.:Tapahtumapohjainen sumea lingvistinen yhtälöjärjestelmä lääkevalmisteiden koostumustenja valmistusprosessien tutkimuksessa. Raportti B No 15. Oulun yliopisto, Säätötekniikanlaboratorio. Kesäkuu 2000, 30 p., ISBN 951-42-5678-6.


Mäki T. & Juuso E.:Multiple Model Dynamic Simulation of a Fluidized Bed Granulator with LinguisticEquations. Preprints of TOOLMET’2000 Symposium - Tool Environments and Develop-ment Methods for Intelligent Systems, Oulu, April 13-14, 2000 (L. Yliniemi & E. Juuso, eds.),Oulun yliopistopaino, Oulu, 2000, pp. 78-89. ISBN 951-42-5595-X.

Niinimäki J., Leiviskä K., Jussila T., Tienvieri T., Härkönen E. & Ämmälä A.:A Novel Control Strategy for Screen Rooms in Mechanical Pulping. Proceedings of the19th IASTED International Conference - Modelling, Identification and Control, February14 - 17, 2000, Innsbruck, Austria, pp. 112 - 116.

Rahikka L. & Juuso E.,Sulfaattisellun eräkeittoprosessin jatkuvatoiminen analysointi. Raportti B No 25. Oulunyliopisto, Säätötekniikan laboratorio. Joulukuu 2000. 37 s. ISBN 951-42-5879-7

Sievola H. & Juuso E.,Tilastollisten menetelmien käyttö piirilevyjen asettelu- ja juotostarkastuksen simuloimiseenelektroniikkateollisuudessa. Raportti B No 23. Oulun yliopisto, Säätötekniikan laboratorio.Joulukuu 2000. 15 s. ISBN 951-42-5877-0.

Ylianttila M., Lindfors J., Turunen T.:AR Based Mobile Process Management System. In: Networked Virtual Environments andApplications Workshop, 21 September 2000. Oulu, Finland. 2 p. http://www.ratol.fi/lisenssi/netvir/nvews1.html

Yliniemi L. & Juuso E.:Proceedings of TOOLMET2000 Symposium - Tool Environments and DevelopmentMethods for Intelligent Systems, Oulu, 13-14 April, 2000, Oulun yliopistopaino, Oulu,2000, 270 p. ISBN 951-42-5595-X.

Yliniemi L.:Annual Report 1999. Infotech Oulu and Department of Process Engineering, Universityof Oulu. Oulu. 31 p.


9. GUESTS AND VISITS

Dr. Marco Re and Dr. Marcello Salmeri from University of Rome “Tor Vergata”, Dept. ofElectronic Engineering, visited April 12 - 14, 2000.Dr. Harald Peters from Briebsforschunginstitut, Dept. of “AI-Techniques and Data-basedModels” , Dusseldorf, Germany, visited April 12 - 14, 2000.Dr. Marc Thuillard from Siemens Building Technologies AG, Cerberus Division, Maennedorf,Switzerland, visited April 12 - 14, 2000.

Dr. Leena Yliniemi visited within the SOCRATES-programme University of Palermo, April5-9, 2000 and GROUP T Leuven Institute of Technology May 29. Chief Engineer Yliniemiacted in Leuven as a member of the examining panel as the co-supervisor LieveVandezande’s diploma thesis “ Simulation of the temperature control system of a PVCsuspension polymerization reactor” .Senior Assistant Esko Juuso visited General Electric Corporate Research and Develop-ment Center, Schenectady, NY, USA, March 6-10, 2000. He visited also ProgrammingEnvironments Laboratory, Department of Computer and Information Science, Universityof Linköping, Linköping, Sweden, August 18, 2000 and Department of Energy Engineering,Technical University of Denmark (DTU), Lyngby, Denmark, September 18-19, 2000.

10. OTHERS

Kauko Leiviskä has been- Vice-Dean of Technical Faculty and the faculty council member- Head of Department of Process and Environmental Engineering- Head of Control Engineering Laboratory- Chairman of Campus Futurus Steering Group, University of Oulu- Member of Board and Vice-Chair, Training and research services, University of Oulu- Member of Board, Thule Institute, University of Oulu- Member of Steering Committee of ERUDIT Network of Excellence and the

Chairman of ERUDIT’s TCA: Primary and Process Industries- Member in the Programme Board of Management, International Ph.D. Programme

in Pulp and Paper Science and Technology- Member of Board, Finnish Society of Automation- IFAC contact person of Finnish NMO- Member of IPC for European Symposium for Intelligent Techniques, Aachen,

Germany 2000- Chairman of NOC and member of IPC for IFAC Workshop on Future Trends in

Automation in Mineral and Metal Processing, 22-24 August 2000, Finland- Chairman of IPC for IFAC Symposium ACE2003, Oulu, Finland- Member of IPC, European Control Conference 2001- Member of Reviewers Group, IFAC/IFIP/IEEE 2nd Conference on Management


and Control of Production Logistics, MCLP 2000, Grenoble, France- Member of IPC CONTROLO’2000: 4th Portuguese Conference on Automatic

Control, GUIMARAES, Portugal.

Leena Yliniemi has been- Chair of Board, Association for Laboratory Managers in Technical Universities in

Finland (KLI)- Member of the Civil Committee of The Finnish Association of Graduate Engineers

TEK- Member of the Council of the Technical Faculty- Member of Council of Department of Process and Environmental Engineering- Member of National Organising Committee of TOOLMET 2000 Symposium- Chair of National Organising Committee of TOOLMET'01 Symposium- Member of National Organising Committee of IFAC Workshop on Future Trends

in Automation in Mineral and Metal Processing- Chair of National Organising Committee for ACE 2003- IFAC Symposium on

Advances in Control Education- Member of the Executive Group of Automation 2001- Chair of the Seminar Committee of Automation 2001

Esko Juuso has been- Member of Board for the Scandinavian Simulation Society (SIMS)- Programme Chair of TOOLMET 2000- Programme Chair of TOOLMET'01- Member of National Organising Committee of TOOLMET 2000- Member of National Organising Committee of TOOLMET'01- Member of IPC for 2001 European Simulation Interoperability Workshop

annual report 2000 - university of oulu annual report 2000. annual report 2000 5 contents page ......

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