Induction machine fault diagnostic analysis with wavelet technique
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 558-565 |
| Journal / Publication | IEEE Transactions on Industrial Electronics |
| Volume | 51 |
| Issue number | 3 |
| Publication status | Published - Jun 2004 |
Link(s)
Abstract
A wavelets-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.
Research Area(s)
- Fault diagnostic, Induction machine, Narrow filter banks, Wavelet analysis
Citation Format(s)
Induction machine fault diagnostic analysis with wavelet technique. / Chow, Tommy W.S.; Hai, Shi.
In: IEEE Transactions on Industrial Electronics, Vol. 51, No. 3, 06.2004, p. 558-565.
In: IEEE Transactions on Industrial Electronics, Vol. 51, No. 3, 06.2004, p. 558-565.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
