Abstract
This paper presents a new wavelet-based algorithm for three-phase induction machine fault detection. This new method uses the standard deviation of wavelet coefficients, obtained from n-level decomposition of each phase, to identify single-phasing of supply and unbalanced stator resistance faults in three-phase machines. The proposed algorithm can operate independent of the operational frequency, fault type and loading conditions. Results show that this algorithm has better detection response than the Fourier Transform-based techniques. In addition, a user-friendly graphical interface was designed.
| Original language | English (US) |
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| Journal | ASEE Annual Conference and Exposition, Conference Proceedings |
| State | Published - Jan 1 2008 |
| Event | 2008 ASEE Annual Conference and Exposition - Pittsburg, PA, United States Duration: Jun 22 2008 → Jun 24 2008 |
All Science Journal Classification (ASJC) codes
- General Engineering