editorial structural dynamical monitoring and fault...

EditorialStructural Dynamical Monitoring and Fault Diagnosis

Jiawei Xiang,1 Yaguo Lei,2 Yanxue Wang,3 Yumin He,4 Changjun Zheng,5 and Haifeng Gao1

1College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China2School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China3Department of Mechanical Engineering, Technology University of Darmstadt, 64289 Darmstadt, Germany4Department of Structural Engineering, University of California, San Diego, CA 0085, USA5Department of Civil Engineering, University of Siegen, 57076 Siegen, Germany

Correspondence should be addressed to Jiawei Xiang; [email protected]

Received 4 July 2015; Accepted 22 July 2015

Copyright © 2015 Jiawei Xiang et al. This is an open access article distributed under the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Structural dynamical monitoring and fault diagnosis are ofgreat importance to diagnose/prognoses faults/failures ofstructures. To detect faults in the components of structures,many novelty methods are proposed [1, 2]. Lei et al. summa-rized the methods of the present fault diagnosis of planetarygearboxes, including modeling methods, signal processingmethods, intelligent diagnosis methods, and other noveltymethods [3].

Although the present methodologies and techniques arefeasible to resolve some problems, the emergence of non-destructive tests, structural health monitoring, and equip-ment evaluation using vibration information demands forthe development of numerical simulation and experimentaldemonstration of new methodologies and techniques. Forthe numerical simulation of rotor-bearing systems, Xiang etal. presented a class of wavelet-based Rayleigh-Euler rotatingbeam element using B-spline wavelets on the interval (BSWI)to analyze rotor-bearing system [4]. Further, they proposeda new two-step methodology for detecting multiple faults instructures, inwhich the singularity detection techniqueswereemployed to decompose the mode shape to reveal singular-ities and hence the fault locations and the fault severitiesat the identified locations were then assessed in the secondstep using the numerical simulation results and the tradi-tional/intelligent optimization techniques [5, 6]. To detect thefaults in real world structures (mechanical systems or civilstructures), intelligent classification techniques might be thebest way for the practice applications.However, the lack of thefaulty samples will lead to the failure to detect faults in real

world structural systems. Hence, numerical simulation playsa key role in the present fault detection methodology toobtain the simulated faulty samples to replace the measuredones.Therefore, the objective of this special issue is to presentoriginal research and review articles on the latest theoreticaldevelopments and experimental techniques in structuraldynamical monitoring and fault diagnosis, such as diag-nostics/prognostics/machine learning, numerical simulationmodeling of structures with faults, structural healthmonitor-ing, nondestructive testing and evaluation, equipment evalu-ation using vibration information, and condition monitoringsystems.

In the present special issue, we accepted research articlesfrom Denmark, Japan, China, South Korea, Egypt, Iran,Turkey, Spain, Colombia, and Serbia after a strict peer reviewprocess.The research areaswerewithin the topic of the specialissue, for example, fault diagnosis of mechanical components(bearings, gears, diesel engine, and shafts), dynamical modelupdating of mechanical and civil structures, structural healthmonitoring of civil structures (builds and bridges), fatigue lifeanalysis using vibration signals for the equipment evaluation,the construction of condition monitoring systems usingthe novel methods for mechanical systems and biomedicalsystems, lightweight investigation using vibration signalsfor vehicle engineering, numerical simulation of earthquakewaveforms to the condition monitoring of civil engineeringstructures, and numerical simulation of structures.

For the fault diagnosis of mechanical components, in thepaper “Study on Fault Diagnosis of Rolling Bearing Based on

Hindawi Publishing CorporationShock and VibrationVolume 2015, Article ID 193831, 3 pageshttp://dx.doi.org/10.1155/2015/193831

2 Shock and Vibration

Time-Frequency Generalized Dimension” by Y. Yuan et al.,a novel multifractal fault diagnosis approach using time-frequency domain signals was proposed to detect faults inrolling-element bearings. In the paper “Rotating MachineFault Diagnosis Based on Optimal Morphological Filter andLocal Tangent Space Alignment” by S. Dong et al., the hybridscheme using particle swarm optimization (PSO) algorithm-based optimal morphological filter and the nonlinear mani-fold learning algorithm local tangent space alignment (LTSA)was developed to extract the fault features of rolling-elementbearings. The paper “Mutual Information-Assisted WaveletFunction Selection for Enhanced Rolling Bearing Fault Diag-nosis” by R. Yan et al. improved the performance of thewavelet packet transform (WPT) to classify the faults inrolling-element bearings. In the paper “Fault Diagnosis forGearbox Based on Improved Empirical Mode Decomposi-tion” by L. Zhao et al., the fault in gears was detected usingthe orthogonal empiricalmode decomposition (OEMD).Thepaper “An Algorithm of Quantum Restricted BoltzmannMachine Network Based on Quantum Gates and Its Applica-tion” by P. Zhang et al. investigated the algorithm of quantumrestricted Boltzmann machine network for gear faults identi-fication. The paper “An Adaptive Support Vector RegressionMachine for the State Prognosis ofMechanical Systems” byQ.Zhang et al. built up an adaptive support vector regression(ASVR) to predict the faults in descaling pumps. The paper“A Novel Rotor Profile Error Tracing and CompensationStrategy for High Precision Machining of Screw Rotor Basedon Trial Cutting of Limited Samples” by Z. Shen et al. pre-sented a trail cutting fault detecting method to trace the rotorprofile error and further generate a compensation strategy forthe improvement of running precision of screw rotors. Thepaper “A Method Combining Order Tracking and Fuzzy 𝐶-Means forDiesel Engine Fault Detection and Isolation” inves-tigated the hybrid method using order tracking and fuzzy 𝐶-means for the fault detection of diesel engine. The paper “AComparative Study on Multiwavelet Construction Methodsand Customized Multiwavelet Library for Mechanical FaultDetection” by J. Yuan et al. discussed the performance ofthe multiwavelet construction and the corresponding cus-tomized multiwavelet library for the application in mechani-cal fault detection.

For the dynamical model updating of mechanical andcivil structures, the paper “Model Updating of Spindle Sys-tems Based on the Identification of Joint Dynamics” by H.Cao et al. presented a method to update the finite elementmodel of spindle. The joint stiffness was identified throughthe iteration process by minimizing the difference betweenthe simulated frequency response function (FRF) and themeasured FRF of the assembly. The paper “A PSO DrivenIntelligent Model Updating and Parameter IdentificationScheme for Cable-Damper System” by D. Dan et al. proposedparticle swarm optimization (PSO) algorithm-based param-eters identification method of cable-damper system for thefinite element model updating.

For the structural healthmonitoring of civil structures, inthe paper “A BioinspiredMethodology Based on an ArtificialImmune System for Damage Detection in Structural HealthMonitoring” byM. Anaya et al., the bioinspiredmethodology

using artificial immune system (AIS) is applied to determinefaults based on the sudden changes of the ultrasonic signalsmeasured from an aircraft skin panel. The paper “AcousticalSource Tracing Using Independent Component Analysis andCorrelationAnalysis” byW.Cheng et al. presented a hybrid ofindependent component analysis (ICA) and correlation anal-ysis scheme to locate the acoustical source of shell structuresto indicate the damage locations. The paper “Bridge DamageSeverity Quantification Using Multipoint Acceleration Mea-surement and Artificial Neural Networks” by P. Chun et al.developed a damage severity detection method using accel-erators and artificial neural networks. The paper “Stayed-Cable Bridge Damage Detection and Localization Based onAccelerometer Health Monitoring Measurements” by M. R.Kaloop and J.W.Hudeveloped a structural healthmonitoringscheme using accelerators, time series analysis, responsespectra, and the power density spectra to construct in situmonitor of the damage condition of bridge.

For the fatigue life analysis using vibration signals forthe equipment evaluation, the paper “Evolution Balancing ofthe Small-Sized Wheel Loader Assembly Line” by R. Lai etal. investigated the application of genetic algorithms (GAs)to improve the balancing efficiency and precision of wheelloader assembly line. The paper “Fatigue Life Analysis ofRolling Bearings Based on Quasistatic Modeling” by W. Guoet al. proposed a quasistatic model-based fatigue life analysismethod for the rolling-element bearings. Both numericalsimulation and experiment investigation were performedto testify the fatigue life prediction model. The paper “NCMachine Tools Fault Diagnosis Based on Kernel PCA and 𝑘-Nearest Neighbor Using Vibration Signals” by Z. Yuqing et al.proposed a cutting tool processing cycle prediction schemebased on the fault classification using kernel principal com-ponents analysis (PCA).

For the construction of condition monitoring systemsusing the novelmethods formechanical systems and biomed-ical systems, the paper “Automatic Condition Monitoring ofIndustrial Rolling-Element Bearings UsingMotor’s Vibrationand Current Analysis” by Z. Yang presented an automaticcondition monitoring system using motor vibration andcurrent analysis to evaluate the work conditions of rolling-element bearings. In the paper “Application of 𝑇2 ControlCharts and Hidden Markov Models in Condition-BasedMaintenance at Thermoelectric Power Plants” by E. Kisic etal., the condition-based maintenance systems using controlcharts and hidden Markov models were developed. In thepaper “Determining Effects of Wagon Mass and VehicleVelocity on Vertical Vibrations of a Rail Vehicle Moving witha Constant Acceleration on a Bridge Using Experimental andNumerical Methods” by C. Mızrak and I. Esen, the wagonmass and vehicle velocity indemnification system was devel-oped. In the paper “Modeling and Simulation of Process-Machine Interaction in Grinding of Cemented CarbideIndexable Inserts” by W. Feng et al., the grinding monitoringsystem was developed. In the paper “Real Time Cardan ShaftState Estimation of High-Speed Train Based on EnsembleEmpirical Mode Decomposition” by C. Yi et al., the realtime cardan shaft state monitoring system using ensemble

Shock and Vibration 3

empirical mode decomposition was developed. In the paper“Research on High-Frequency Combination Coding-BasedSSVEP-BCIs and Its Signal Processing Algorithms” by F.Zhang et al., the evoked potential monitoring system wasdeveloped to monitor the electroencephalogram.

For the lightweight investigation using vibration signalsfor vehicle engineering, the paper “Lightweight Investigationof Extended-Range Electric Vehicle Based on Collision Fail-ure Using Numerical Simulation” by J. Long et al. proposeda collision failure-based lightweight method to optimize thenatural frequency and the corresponding vibration responseof the extended-range electric vehicle.

For the numerical simulation of earthquake waveformsto the condition monitoring of civil engineering structures,the paper “Bizarre Waveforms in Strong Motion Records”by B. Zhou et al. investigated the abnormal waveform andfound that it directly affects the characteristics of time historyand frequency spectrum. The paper “The Influence of PierStiffness Ratio on the Failure Modes of Masonry Structures”by Y. Wang et al. investigated the influence of pier stiffnessratio on the failure mode of infrastructure when it afforded aheavy earthquake.

For the numerical simulation of structures, the paper“Free Vibration Analysis for Cracked FGM Beams by Meansof a Continuous Beam Model” by E. C. Yang et al. proposeda numerical simulation method using continues beammodelto analyze the functional gradedmaterials (FGMs) beamwithcracks. The paper “Identification of Crack Location in BeamStructures UsingWavelet Transform and Fractal Dimension”by Y.-Y. Jiang et al. presented wavelet-based numericalmethod and fractional dimension method to detect cracklocations.The paper “Research on the BandGap Characteris-tics of Two-Dimensional Phononic CrystalsMicrocavity withLocal Resonant Structure” by M. Liu et al. presented noveltwo-dimensional phononic crystals (PCs) through numericalsimulation, which might be employed to detect damagein structures. The paper “Resonance Analysis of High-Frequency Electrohydraulic Exciter Controlled by 2D Valve”by G. Pan et al. presented a numerical simulation methodusing Fourier series extension to analyze the conditionsof electrohydraulic exciter controlled by two-dimensionalvalve. The paper “Theoretical Analysis and ExperimentalVerification of Particle Damper-Based Energy Dissipationwith Applications to Reduce Structural Vibration” by X.Wangqiang et al. presented a numerical simulation methodusing theoretical analysis to reduce structural vibration ofdampers.

In summary, much effort should be made to connect thenovelty methods and the fault/damage detection for the realworld mechanical and civil structures.

Jiawei XiangYaguo Lei

Yanxue WangYumin He

Changjun ZhengHaifeng Gao

References

[1] L. J. Meng, J. W. Xiang, Y. X. Wang, Y. Y. Jiang, and H. F.Gao, “A hybrid fault diagnosis method using morphologicalfilter-translation invariant wavelet and improved ensembleempirical mode decomposition,”Mechanical Systems and SignalProcessing, vol. 50-51, pp. 101–115, 2015.

[2] Y. Wang, R. Markert, J. Xiang, and W. Zheng, “Research onvariationalmode decomposition and its application in detectingrub-impact fault of the rotor system,” Mechanical Systems andSignal Processing, vol. 60-61, pp. 243–251, 2015.

[3] Y. G. Lei, J. Lin, M. J. Zuo, and Z. J. He, “Condition monitoringand fault diagnosis of planetary gearboxes: a review,” Measure-ment, vol. 48, no. 2, pp. 292–305, 2014.

[4] J.W. Xiang, Z. S. Jiang, and X. F. Chen, “A class of wavelet-basedRayleigh-Euler beam element for analyzing rotating shafts,”Shock and Vibration, vol. 18, no. 3, pp. 447–458, 2011.

[5] J. Xiang and M. Liang, “A two-step approach to multi-damagedetection for plate structures,” Engineering Fracture Mechanics,vol. 91, pp. 73–86, 2012.

[6] J. W. Xiang, M. Liang, and Y. M. He, “Experimental investi-gation of frequency-based multi-damage detection for beamsusing support vector regression,” Engineering Fracture Mechan-ics, vol. 131, pp. 257–268, 2014.

International Journal of

AerospaceEngineeringHindawi Publishing Corporationhttp://www.hindawi.com Volume 2014

RoboticsJournal of

Hindawi Publishing Corporationhttp://www.hindawi.com Volume 2014


Active and Passive Electronic Components

Control Scienceand Engineering

Journal of



RotatingMachinery


Hindawi Publishing Corporation http://www.hindawi.com

Journal ofEngineeringVolume 2014

Submit your manuscripts athttp://www.hindawi.com

VLSI Design



Shock and Vibration


Civil EngineeringAdvances in

Acoustics and VibrationAdvances in



Electrical and Computer Engineering

Journal of

Advances inOptoElectronics

Hindawi Publishing Corporation http://www.hindawi.com

Volume 2014

The Scientific World JournalHindawi Publishing Corporation http://www.hindawi.com Volume 2014

SensorsJournal of


Modelling & Simulation in EngineeringHindawi Publishing Corporation http://www.hindawi.com Volume 2014


Chemical EngineeringInternational Journal of Antennas and

Propagation




Navigation and Observation



DistributedSensor Networks


editorial structural dynamical monitoring and fault...

Documents