Download - Aging Wiring Trend Analysis.ppt [Read-Only]
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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 FeaturesAW Data Cube FeaturesAccessing NASDAC
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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
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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
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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 comment Beta 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 HoursAircraft 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
ThesaurusVer N.n
Analysis&
Review
DesignedReports
AW Dataset(Preprocessing30-day Cycle)
ACO Users
NASDACUser Group
(Thesaurus Mgmt)
NASDACStaging Area
NASDACPortal
(Workstation)OLAP
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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.
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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))?
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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.
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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
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
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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 Oracle’s “fuzzy logic” for typo’s 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 Views may be customized
to user specifications
Manufacturer(Column)
Manufacturer SDR Total
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November 2002 EAPAS AW Briefing 16
Aging Wiring Sheet View
This is the selected sheet The user may select
an operator’s fleet
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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
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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
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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]
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November 2002 EAPAS AW Briefing 20
Questions?
Questions ?