Induction machine fault diagnostic analysis with wavelet technique
Chow, T.W.S.
Shi Hai
Dept. of Electron. Eng., City Univ. of Hong Kong, China;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: June 2004
Volume: 51,
Issue: 3
On page(s): 558- 565
ISSN: 0278-0046
INSPEC Accession Number: 8110749
Digital Object Identifier: 10.1109/TIE.2004.825325
Current Version Published: 2004-06-01
Abstract
A wavelet transform based method was developed for diagnosing machine faults operating at different rotating speeds. This paper shows that machine fault diagnosis can be effectively performed when an appropriate narrow-band filter is used to extract the required spectra components. A wavelets-transform-based technique is used to design specified narrow filter banks. This enables effective machine fault diagnostic analysis to be performed in the frequency domain. Gaussian-enveloped oscillation-type wavelet is employed. By matching the wavelet basis functions with the associated faulty signals, the required narrow filter banks are obtained. As a result, the detection and diagnosis of machine faults operating at different rotating speeds are made possible. The proposed technique was thoroughly tested at different rotating speeds.
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