DocumentCode :
1746983
Title :
Case study methodology for information fusion interface definition
Author :
Ferrell, Barry L. ; Cruickshank, Jane L. ; Gilmartin, Barbara J. ; Massam, Stephen J. ; Fisher, Celia ; Gass, F. Doug
Author_Institution :
Lockheed Martin Aeronaut. Co., Fort Worth, TX, USA
Volume :
6
fYear :
2001
fDate :
2001
Firstpage :
3003
Abstract :
An overall Prognostics and Health Management System (PHM) implementation has the fundamental function of integrating information from multiple system elements and fusing this information into useful knowledge about system and vehicle health. Effectively developing this function requires a structured approach to ensure that data level fusion, feature level fusion, and information level fusion are performed in a coherent architecture. This paper describes a methodology for examining the interfaces between aircraft system/subsystem elements of a PHM function. Case study scenario development is used as the basis for this methodology. Likely failure/damage/wear modes of the equipment are tracked from the observable symptom level through multiple levels of fusion to the top layer of the fusion architecture. There are multiple advantages of this structured approach: identification of interface requirements; clarification of information flows; identification of the individual functional elements of the architecture; and confirmation of the effectiveness of a given architecture. This methodology is applicable to all of the levels of the PHM information hierarchy. Case studies range from propulsion and vehicle system conditions that require immediate pilot notification as well as maintenance notification, to those that are analyzed over longer periods of time for estimating remaining life. Using a wide range of conditions allows examination of interfaces and modeling and cross-correlation techniques that support all levels of the information fusion hierarchy. A summary of the outcome and issues identified during the review of case studies of the vehicle, propulsion and air vehicle PHM systems is presented
Keywords :
aerospace expert systems; aerospace propulsion; aircraft computers; aircraft maintenance; computerised monitoring; condition monitoring; data flow analysis; diagnostic expert systems; fault diagnosis; sensor fusion; aircraft system; clarification of information flow; coherent architecture; cross-correlation techniques; damage modes; data flow topology; data level fusion; failure modes; feature level fusion; immediate pilot notification; individual functional elements identification; information fusion interface definition; information level fusion; interface requirements; maintenance notification; multiple levels of fusion; multiple system elements; observable symptom level; prognostics and health management system; propulsion system condition; remaining life; scenario development; structured approach; useful knowledge; vehicle management computer; vehicle system condition; wear modes; Aerospace industry; Aircraft; Computer aided software engineering; Information analysis; Knowledge management; Process design; Prognostics and health management; Propulsion; Road vehicles; Unified modeling language;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2001, IEEE Proceedings.
Conference_Location :
Big Sky, MT
Print_ISBN :
0-7803-6599-2
Type :
conf
DOI :
10.1109/AERO.2001.931320
Filename :
931320
Link To Document :
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