Title :
Fault detection using phenomenological models
Author :
Gregson, David J. ; Li, Kin F. ; Fu, Wei
Author_Institution :
Quester Tangent Corp., Sidney, BC, Canada
Abstract :
There exist many different established approaches to detect system faults. This paper discusses the various system models and the associated fault detection techniques. Specifically, phenomenological models are presented in detail. Fault detection using principal components analysis and the cluster and classify method is illustrated with real operational data from an electrically powered vehicle.
Keywords :
electric vehicles; fault diagnosis; principal component analysis; behavioural modeling; cluster method; electrically powered vehicle; outlier analysis; phenomenological model; principal component analysis; system fault detection technique; Dictionaries; Electric vehicles; Electrical fault detection; Electromechanical systems; Fault detection; Fault diagnosis; Mathematical model; Motion analysis; Power system modeling; Principal component analysis;
Conference_Titel :
Electrical and Computer Engineering, 2003. IEEE CCECE 2003. Canadian Conference on
Print_ISBN :
0-7803-7781-8
DOI :
10.1109/CCECE.2003.1226029
