DocumentCode :
773006
Title :
Development of an Intelligent Diagnostic System for Induction Machine Health Monitoring
Author :
Singh, G.K. ; Kazzaz, Sa´ad Ahmed Saleh Al
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Roorkee, Roorkee
Volume :
2
Issue :
2
fYear :
2008
fDate :
6/1/2008 12:00:00 AM
Firstpage :
273
Lastpage :
288
Abstract :
In this paper, the development of an intelligent diagnostic system for induction machine health monitoring has been presented. The idea behind the artificial neural network and its application for machine diagnostic is described briefly. The general condition of intelligent system design based on neural network is discussed. The results of using developed intelligent algorithm for efficient and accurate identification of machine health are demonstrated. C and Matlab programs have been used for the development of the intelligent algorithm (multi-layer feed-forward neural network with back propagation algorithm) for machine diagnostic and monitoring.
Keywords :
asynchronous machines; backpropagation; condition monitoring; electric machine analysis computing; fault diagnosis; feedforward neural nets; knowledge based systems; C program; Matlab program; artificial neural network; back propagation algorithm; induction machine health monitoring; intelligent algorithm; intelligent machine diagnostic system development; multilayer feed-forward neural network; Artificial intelligence; Artificial neural networks; Condition monitoring; Feedforward systems; Induction machines; Intelligent networks; Intelligent systems; Machine intelligence; Multi-layer neural network; Neural networks; Artificial neural network (ANN); condition monitoring; diagnosis; fault; fuzzy logic; induction machine; signal processing; vibration; wavelet transform;
fLanguage :
English
Journal_Title :
Systems Journal, IEEE
Publisher :
ieee
ISSN :
1932-8184
Type :
jour
DOI :
10.1109/JSYST.2008.924129
Filename :
4550589
Link To Document :
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