170 likes | 299 Views
National Research. Conseil national. de recherches Canada. Council Canada. Institut de technologie. Institute for. Information Technology. de l'information.
E N D
National Research Conseil national de recherches Canada Council Canada Institut de technologie Institute for Information Technology de l'information The Integrated Diagnostic System (IDS): Remote Monitoring and Decision Support for Commercial Aircraft - Putting Theory into Practice Michael Halasz, Bob Orchard, François Dubé - NRC Robert Ferland - Air Canada 1999 AAAI Spring Symposium on AI in Equipment Maintenance Service and Support Stanford University, California March 23, 1999
Overview • motivation • benefits • airline operational environment • IDS • practical considerations
accurate diagnosis (what, how?) aircraft ...November 1993 accurate prognosis (what, how, when?) repair management (planning, scheduling) Vision - from data to decisions • “...to make optimum use of available data, information, and knowledge across the organization to improve engine maintenance and troubleshooting”...July 1992 automated reasoning
Motivation • need for systems that help in time critical, accurate, and consistent decision making • tools to integrate and interpret • volumes of useful data provided by new generation equipment • organization’s diverse and distributed information assets • right data, knowledge and expertise at right time necessary to optimize maintenance mission - distributed • unscheduled maintenance is persistent “more with less” but “maximize equipment utilization”
Motivation source: Statistics Canada 1996
$ 2 - 4% What can innovative IT do? maintenance budget 5 - 8%
Focus: Line Technician • aircraft at gate • passenger offload • snag recognition • consult MEL • consult TSM • consult aircraft history • carry out test (BITE) • fault isolation(TSM) • parts required? • order parts • rectification (AMM) • certification 35 minutes
engineering Troubleshooting field rep. maintenance control centre manuals parts • results: • flight cancellation • unhappy customers • lost $$$ line / ramp
know the fault decision made ready to fix a/c engineering SOC IDS electronic manuals MCC manufacturer rep. parts IDS Concept
IDS learning algorithms local databases case-bases language interpretation distributed data & knowledge sources knowledge-bases interfaces - system - user trigger reactive proactive situational Functional Architecture
Simple Example Time Phase Event Description 13:04:12 take-off NAV 13:08:34 cruise WRN ENG 2 OVSPD PROT FAULT 13:08:35 cruise FLR HMU (OSG), J7//EIU2FAD 13:09:14 cruise WRN ENG 2 COMPRESSOR VANE 13:10:08 cruise FLR VBV ACT, HMU ENG2A//EIUFADEC 13:19:50 cruise WRN SFCS 13:20:56 cruise FLR FLP LH PROX SNSR 1 37 CVOR LGCIU 1//SFCC 1 13:22:28 cruise FLR L FLP DISC PROX SNSR 37CV // LGCIU 1 13:22:41 cruise SNG ENG 2 COMP VANE OCCURRED AS PWR ADV TO CLB PWR THRU 17000 FT. 13:41:01 cruise ECR ENGINE CRUISE REPORT 13:42:21 cruise CPR CRUISE PERFORMANCE REPORT 13:48:02 cruise FLR ILS-2 NO DATA FROM CONTROL SOURCE // ILS 2 13:48:08 cruise FLR AFS:FMGC2 //AFS,RMP1,2OR3 13:48:27 cruise FLR AFS:ILS2 // AFS 13:55:50 cruise FLR DME-1 TRANSCEIVER // DME 1 13:59:01 cruise ECR ENGINE CRUISE REPORT 14:01:57 cruise FLR DMC2:NO FQI2 DATA // EIS 2, EIS 1, EIS 3 14:37:23 cruise FLR AFS:ADIRU1/2/3 DISAGREE // AFS 14:47 cruise snag SEAT COVER AT 3F NEEDS TO BE CHANGED-COVER CHANGED 15:00:34 cruise WRN NAV ALTI DISCREPANCY 15:08:54 cruise FLR CHECK VHF-1 ANTENNA CIRCUIT // VHF 1 15:21:31 at gate MPF MAINTENANCE POST FLIGHT REPORT 22:52 snag REPLACED MASTER BALLSCREW ACTUATOR FLEX DRIVE&SPACER, ENG RUN CARRIED OUT,ACFT CHECKS SERV symptom cluster performance reports repair
Practical Considerations • General • get right into business justification • understand end user’s problems/world • find appropriate champions (upper management & technical staff) • expect many organizational changes • iterate frequently with users • control expectation • users don’t easily express wants/needs
Practical Considerations • Technology transfer • new technologies (AI, OO, …) • infrastructure to deliver distributed real time application • electronic manual access • legacy system links • minimal changes to business practices • active user participation • year 2000
Practical Considerations • R & D goals/balance • evolutionary process (resist throw away approach) • be prepared to make significant “leap of faith” commitment up front until idea catches on • impact of unresolved issues such as: • automatic case creation (limited access to personnel) • unsupervised learning techniques (failure prediction)
Current Status • prototype (v2.11) operating at Montreal and Ottawa (4 sites) since Nov ‘96 • IDS v3.0 (distributed, component based) • Air Canada infrastructure issues & development • extend to other aircraft (currently A320/319) • soliciting requests from companies to fulfill service provision roles • Aerospace DAta Miner (ADAM): encouraging results, > 4 yrs operational data