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)|
|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