aging wiring trend analysis.ppt [read-only]
TRANSCRIPT
[email protected]@FAA.gov
November 2002 EAPAS AW Briefing 2
Briefing Agenda
NASDAC Mission and VisionEAPAS-AW ObjectivesEA Data Mart FeaturesAW Data Cube FeaturesAccessing NASDAC
November 2002 EAPAS AW Briefing 3
NASDAC Mission
“NASDAC enhances system safety decision-making by providing high quality safety information, analytical capabilities, services, and technology to the aerospace community.”
DomainKnowledge
(Customer)
DataPreparation
DataMining
Statistics
DBMSData
Warehouse- OLAP
DataVisualization
Reporting
NaturalLanguageProcessing
HOURS
100,000
80,000
60,000
40,000
20,000
0 20,000 40,000 60,000 80,000 100,000 CYCLES
Spotfire Display
November 2002 EAPAS AW Briefing 4
EAPAS-AW Objectives
Section W.4; EAPAS Plan: Strategy - develop automated SDR reporting system, allowing trend analysis.1. SDR system data dictionary [update] to FAA metadata
repository2. Produce NASDAC Data Mart Prototype Design
Enhanced Airworthiness Data Mart now available at NASDACAging Wiring Data Cube prototype now available at NASDAC
3. Conduct Pre-NPRM Trend Analysis Demonstration w/Prototype
4. Perform Post-NPRM Trend AnalysisDemonstration w/ Mart & Tools
November 2002 EAPAS AW Briefing 5
Aging Wiring Trend Analysis Development Schedule
EAPAS-AW Requirements Development
NASDAC Extranet Portal Operations
Beta Site Prototype & Test
Sept. 02 May 03Jan. 03
Implement Requirements and Operate OLAP
Install, Test, Announce to Users
Collect Requirements, Demo Prototype
* EADM = Enhanced Airworthiness Data Mart
EADM* Operations
(June)
W.4.2
W.4.3
W.4.4
W.4.1 = EAPAS Plan Paragraph
W.4.1
November 2002 EAPAS AW Briefing 6
Requirements Team Activity
ACO Representative Individual Role & ObjectivesProvide certification engineering expertise (SME) to the ASY-led team¯ Deliver Process Knowledge [Comments - Oral and Written]¯ Deliver Airworthiness Certification Decision Knowledge [same]
Team ObjectivesDefine computer-based data Trend Analysis Requirements¯ Examine Text Mining Thesaurus Technology¯ Examine Text Mining Categorization Technique¯ Examine Text Mining Data Extraction Technique
Prototype software review and comment Beta software exercise, review and commentAffirm and validate Trend Analysis Capability¯ Enable a predictive analytical mode
November 2002 EAPAS AW Briefing 7
EADM Composition
SDR DataAirClaims Data*
Aircraft N, Make, Model, Series
Exposure:Aircraft Mfr DateAircraft Flight HoursAircraft Cycles
*Large Transport Aircraft
Merged Datasets
November 2002 EAPAS AW Briefing 8
Overview of Technical Approach
AWDatasetMm/yy
AirClaimsData
EAPASKey-basedIntegration
AFS-600SDRData
nn97Filter
30-dayUpdateCycle
TextAssessment
ProcessAW
ThesaurusVer N.n
Analysis&
Review
DesignedReports
AW Dataset(Preprocessing30-day Cycle)
ACO Users
NASDACUser Group
(Thesaurus Mgmt)
NASDACStaging Area
NASDACPortal
(Workstation)OLAP
November 2002 EAPAS AW Briefing 9
NASDAC EADM
Secondly, we offer the “Cube” View
Metadata about the data set
There are two strategies to approaching the database:
One is the query approach.
November 2002 EAPAS AW Briefing 10
Simple Query Illustration
This field is for text searches of the SDR
narrative.
This active field is used to select a manufacturer.
This active field is used to specify the model of interest.
Query Purpose:• Which parts/components are failing,• Where (aircraft make, model, location)• When (aircraft age, hours, cycles), and • How (poor design (chafing)) (poor technique (incorrect attachment, abrasion))?
November 2002 EAPAS AW Briefing 11
Results of Query
This size of the database in records.
The number of records matching the query .
This is a copy of the SQL Code in the query.
This link will take you to the specific
record.
November 2002 EAPAS AW Briefing 12
Prototype Aging Wiring Thesaurus Specifications
Specifications
§ 900 Terms
§ 425 Synonymous Relationships
§ Maximum of 3 hierarchical levels
Ø 275 Top Terms
Ø 270 Narrower/Broader Terms Relationships
Ø 315 Related Term Relationships
AW
Thesaurus
Ver 0.1
SME Domain: Electrical Wiring Systems
November 2002 EAPAS AW Briefing 13
Prototype On-line User Interface
Thesaurus Menu OptionsThis selection invokes
synonyms to “broken”, e.g., broke, break
November 2002 EAPAS AW Briefing 14
Prototype On-line Results
This Result – 5 RecordsOther result w/o Thesaurus (exact match) – 3 Records
Also expect to investigate Oracle’s “fuzzy logic” for typo’s and stem [term] matching.
November 2002 EAPAS AW Briefing 15
Data Cube View – Worksheet Aircraft by Age
Aircraft Age in Years (Row)
Worksheet Views may be customized
to user specifications
Manufacturer(Column)
Manufacturer SDR Total
November 2002 EAPAS AW Briefing 16
Aging Wiring Sheet View
This is the selected sheet The user may select
an operator’s fleet
November 2002 EAPAS AW Briefing 17
Cube Drill-down Results
This line shows total records with “wire”
specifiedThis “blank” line shows
system wiring records total
The “-” indicates drill-down complete.
The “+” indicates records below for drill-down.
The few records in the database show early
voluntary participation
November 2002 EAPAS AW Briefing 18
Trend Analysis Illustration
The Pareto principle describes a phenomenon in which 80 percent of variation observed in everyday processes can be explained by a mere 20 percent of the causes of that variation.
Pareto Chart
November 2002 EAPAS AW Briefing 19
ConclusionAW Requirements Team to complete an examination of:
- Thesaurus – Text Mining Technology- Unstructured Data Categorization – Text Mining- Data Visualization – Data Mining-type Examination for Trend Analysis
NASDAC [ASY] Role consistent with CPSRT Direction:- Safety Information Awareness
Data ManagementTimely Field Information
NASDAC Mission progression:- Provide state-of-the-art
technologies for safety issue analysis
Welcome to Visit our Demonstration Table and NASDAC [HQ Room 1006]
November 2002 EAPAS AW Briefing 20
Questions?
Questions ?