Soft computing methods in motor fault diagnosis

Applied Soft Computing

Volumn 1, Issue 1, 2001, Pages 73-81

  Gao, X Z ^a   Ovaska, S J ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

Fuzzy logic; Genetic algorithms; Motor fault diagnosis; Neural networks; Soft computing

Indexed keywords

EID: 0013025196     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1568-4946(01)00008-4     Document Type: Article

References (6)

1. W. Leonhard, Control of Electrical Drives, Springer, Berlin, Germany, 1996.
2. M.Y. Chow, Motor fault detection and diagnosis, IEEE Ind. Electron. Newslett. 44 (4) (1997) 4-7.
3. T.M. Romberg, J.L. Black, T.J. Ledwidge, Signal Processing for Industrial Diagnostics, Wiley, West Sussex, UK, 1996.
4. M.Y. Chow, Methodologies of Using Neural Network and Fuzzy Logic Technologies for Motor Incipient Fault Detection, World Scientific, Singapore, 1997.
5. P. Vas, Artificial Intelligence-based Electrical Machine and Drives: Applications of Fuzzy, Neural, Fuzzy-Neural, and Genetic-Algorithm-based Techniques, Oxford University Press, New York, 1999.
6. F. Filippetti, G. Franceschini, C. Tassoni, P. Vas, Recent developments of induction motor drives fault diagnosis using AI techniques, IEEE Trans. Ind. Electron. 47 (5) (2000) 994-1004.