DocumentCode :
2934580
Title :
Diagnosing electrical and electronic systems in an intelligent environment
Author :
Bolton, A.G. ; Pourbeik, P. ; Jain, L.C.
Author_Institution :
Defence Sci. & Technol. Organ., Salisbury, SA, Australia
fYear :
1995
fDate :
23-25 May 1995
Firstpage :
217
Lastpage :
225
Abstract :
There is a growing interest in intelligent tools in the area of fault detection and diagnosis in electrical and electronic systems. This paper reports the progress made in the development of a methodology for the diagnosis of electrical machines, with some encouraging initial results. An induction motor was chosen as an application of the knowledge based approach to fault diagnosis
Keywords :
diagnostic expert systems; electric machine analysis computing; failure analysis; fault diagnosis; squirrel cage motors; diagnostic expert systems; electrical fault diagnosis; electrical machine diagnosis; electrical systems diagnosis; electronic systems diagnosis; fault detection; fault diagnosis; induction motor; intelligent tools; knowledge based approach; squirrel cage induction motor; Australia; Circuit faults; Circuit testing; Design engineering; Electrical fault detection; Fault diagnosis; Induction motors; Intelligent systems; Knowledge engineering; Machine intelligence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Technology Directions to the Year 2000, 1995. Proceedings.
Conference_Location :
Adelaide, SA
Print_ISBN :
0-8186-7085-1
Type :
conf
DOI :
10.1109/ETD.1995.403469
Filename :
403469
Link To Document :
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