November 2002EAPAS AW Briefing2 Briefing Agenda NASDAC Mission and Vision EAPAS-AW Objectives EA Data Mart Features AW Data Cube Features Accessing NASDAC

November 2002EAPAS AW Briefing3 NASDAC Mission “NASDAC enhances system safety decision-making by providing high quality safety information, analytical capabilities, services, and technology to the aerospace community.” Domain Knowledge (Customer) Data Preparation Data Mining Statistics DBMS Data Warehouse - OLAP Data Visualization Reporting Natural Language Processing HOURS 100,000 80,000 60,000 40,000 20, ,000 40,000 60,000 80, ,000 CYCLES Spotfire Display

November 2002EAPAS AW Briefing4 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 repository 2. Produce NASDAC Data Mart Prototype Design Enhanced Airworthiness Data Mart now available at NASDAC Aging Wiring Data Cube prototype now available at NASDAC 3. Conduct Pre-NPRM Trend Analysis Demonstration w/Prototype 4.Perform Post-NPRM Trend Analysis Demonstration w/ Mart & Tools

November 2002EAPAS AW Briefing5 Aging Wiring Trend Analysis Development Schedule EAPAS-AW Requirements Development NASDAC Extranet Portal Operations Beta Site Prototype & Test Sept. 02May 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 2002EAPAS AW Briefing6 Requirements Team Activity ACO Representative Individual Role & Objectives Provide certification engineering expertise (SME) to the ASY-led team  Deliver Process Knowledge [Comments - Oral and Written]  Deliver Airworthiness Certification Decision Knowledge [same] Team Objectives Define 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 comment Affirm and validate Trend Analysis Capability  Enable a predictive analytical mode

November 2002EAPAS AW Briefing7 EADM Composition SDR Data AirClaims Data* Aircraft N, Make, Model, Series Exposure: Aircraft Mfr Date Aircraft Flight Hours Aircraft Cycles *Large Transport Aircraft Merged Datasets

November 2002EAPAS AW Briefing8 Overview of Technical Approach AW Dataset Mm/yy AirClaims Data EAPAS Key-based Integration AFS-600 SDR Data nn97 Filter 30-day Update Cycle Text Assessment Process AW Thesaurus Ver N.n Analysis & Review Designed Reports AW Dataset (Preprocessing 30-day Cycle) ACO Users NASDAC User Group (Thesaurus Mgmt) NASDAC Staging Area NASDAC Portal (Workstation) OLAP

November 2002EAPAS AW Briefing9 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 2002EAPAS AW Briefing10 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 2002EAPAS AW Briefing11 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 2002EAPAS AW Briefing12 Prototype Aging Wiring Thesaurus Specifications Specifications  900 Terms  425 Synonymous Relationships  Maximum of 3 hierarchical levels  275 Top Terms  270 Narrower/Broader Terms Relationships  315 Related Term Relationships AW Thesaurus Ver 0.1 SME Domain: Electrical Wiring Systems

November 2002EAPAS AW Briefing13 Prototype On-line User Interface Thesaurus Menu Options This selection invokes synonyms to “broken”, e.g., broke, break

November 2002EAPAS AW Briefing14 Prototype On-line Results This Result – 5 Records Other result w/o Thesaurus (exact match) – 3 Records Also expect to investigate Oracle’s “fuzzy logic” for typo’s and stem [term] matching.

November 2002EAPAS AW Briefing15 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 2002EAPAS AW Briefing16 Aging Wiring Sheet View This is the selected sheet The user may select an operator’s fleet

November 2002EAPAS AW Briefing17 Cube Drill-down Results This line shows total records with “wire” specified This “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 2002EAPAS AW Briefing18 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 2002EAPAS AW Briefing19 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 Awareness Data Management Timely 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 2002EAPAS AW Briefing20 Questions?