DocumentCode :
2761755
Title :
Case-based reasoning: diagnosis of faults in complex systems through reuse of experience
Author :
Derere, L.
Author_Institution :
GenRad Ltd., UK
fYear :
2000
fDate :
2000
Firstpage :
27
Lastpage :
34
Abstract :
Case Based Reasoning (CBR) is a technique for solving problems based on experience. The technique´s intuitive approach is finding increasing use in complex system diagnostics. This paper describes the principles of CBR, its benefits and some of the problems associated with the initial capture of experience data. One approach aimed at improving initial data capture using Model Based Reasoning (MBR) techniques is also introduced. A real-life implementation of CBR is discussed, describing how the technique has been applied in the diagnosis of faults on diesel-electric freight locomotives
Keywords :
case-based reasoning; diesel-electric locomotives; fault diagnosis; model-based reasoning; case-based reasoning; complex system; data capture; diesel-electric freight locomotive; experience reuse; fault diagnosis; intuition; model-based reasoning; Databases; Diesel engines; Fault diagnosis; Feedback; Fuel pumps; Hydraulic systems; Medical diagnostic imaging; Process design; Testing; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Test Conference, 2000. Proceedings. International
Conference_Location :
Atlantic City, NJ
ISSN :
1089-3539
Print_ISBN :
0-7803-6546-1
Type :
conf
DOI :
10.1109/TEST.2000.894147
Filename :
894147
Link To Document :
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