aging wiring trend analysis
TRANSCRIPT
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[email protected]@FAA.gov
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November 2002 EAPAS AW Briefing 2
Briefing Agenda
NASDAC Mission and VisionEAPAS-AW ObjectivesEA Data Mart Features AW Data Cube Features Accessing NASDAC
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November 2002 EAPAS AW Briefing 3
NASDAC Mission
NASDAC enhances system safety decision-making byproviding high quality safety information, analytical capabilit ies,services, and technology to the aerospace community.
DomainKnowledge
(Customer)
DataPreparation
DataMining
Statistics
DBMSDataWarehouse
- 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
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November 2002 EAPAS AW Briefing 4
EAPAS-AW Objectives
Section W.4; EAPAS Plan:Strategy - developautomated SDR reporting system, allowingtrend analysis.1. SDR system data dictionary [update] to FAA metadata
repository
2. Produce NASDAC Data Mart Prototype DesignEnhanced Airworthiness Data Mart now available at NASDAC Aging Wiring Data Cube prototype now available at NASDAC
3. Conduct Pre-NPRM Trend AnalysisDemonstration w/Prototype
4. Perform Post-NPRM Trend AnalysisDemonstration w/ Mart & Tools
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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
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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 commentBeta software exercise, review and commentAffirm and validate Trend Analysis Capability
Enable a predictive analytical mode
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November 2002 EAPAS AW Briefing 7
EADM Composition
SDR DataAirClaims Data*
Aircraft N, Make, Model, Series
Exposure:Aircraft Mfr DateAircraft Flight Hours
Aircraft Cycles
*Large Transport Aircraft
Merged Datasets
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November 2002 EAPAS AW Briefing 8
Overview of Technical Approach
AWDatasetMm/yy
AirClaimsData
EAPASKey-basedIntegration
AFS-600SDRData
nn97Filter
30-dayUpdateCycle
TextAssessment
ProcessAW
Thesaurus
Ver N.n
Analysis&
Review
DesignedReports
AW Dataset(Preprocessing30-day Cycle)
ACOUsers
NASDACUser Group
(Thesaurus Mgmt)
NASDACStaging Area
NASDAC
Portal
(Workstation)OLAP
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November 2002 EAPAS AW Briefing 9
NASDAC EADM
Secondly, we offerthe Cube View
Metadata about the
data set
There are two strategies toapproaching the database:
One is the queryapproach.
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November 2002 EAPAS AW Briefing 10
Simple Query Illustration
This field is for textsearches of the SDR
narrative.
This active field isused to select amanufacturer.
This active field isused to specify themodel 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))?
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November 2002 EAPAS AW Briefing 11
Results of Query
This size of thedatabase in records.
The number of recordsmatching the query .This is a copy of the SQL
Code in the query.
This link will takeyou to the specific
record.
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November 2002 EAPAS AW Briefing 12
Prototype Aging Wiring Thesaurus Specifications
Specifications 900 Terms
425 Synonymous Relationships
Maximum of 3 hierarchical levels
275 Top Terms
270 Narrower/BroaderTerms Relationships
315 Related TermRelationships
A W
T h e s a u r u s
V e r 0 . 1
SME Domain: Electrical Wiring Systems
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November 2002 EAPAS AW Briefing 13
Prototype On-line User Interface
Thesaurus Menu OptionsThis selection invokes
synonyms to broken, e.g.,
broke, break
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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 Oracles fuzzylogic for typos and stem [term] matching.
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November 2002 EAPAS AW Briefing 15
Data Cube View Worksheet Aircraft by Age
Aircraft Age in Years (Row)
Worksheet Viewsmay be customized
to user specifications
Manufacturer(Column)
Manufacturer SDRTotal
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November 2002 EAPAS AW Briefing 16
Aging Wiring Sheet View
This is the selectedsheet The user may select
an operators fleet
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November 2002 EAPAS AW Briefing 17
Cube Drill-down Results
This line shows totalrecords with wire
specifiedThis blank line shows
system wiring records total
The - indicates drill-down complete.
The + indicates recordsbelow for drill-down.
The few records in thedatabase show early
voluntary participation
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November 2002 EAPAS AW Briefing 18
Trend Analysis Illustration
The Pareto principledescribes aphenomenon inwhich 80 percent of variation observedin everydayprocesses can beexplained by a mere20 percent of thecauses of thatvariation.
Pareto Chart
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November 2002 EAPAS AW Briefing 19
Conclusion
AW 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 AwarenessData ManagementTimely Field Information
NASDAC Mission progression:- Provide state-of-the-art
technologies for safety issueanalysis
Welcome to Visit our Demonstration Table andNASDAC [HQ Room 1006]
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November 2002 EAPAS AW Briefing 20
Questions?
Questions ?