aging wiring trend analysis.ppt [read-only]

Ron.Rhoades@FAA.govRon.Rhoades@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 ?