Fault detection in induction machines by using power spectral density on the wavelet decompositions

Motor Current Signature Analysis has been successfully used in induction machines for fault diagnosis. The method however does not always achieve good results when the load torque is not constant. This paper proposes a new approach to motor fault detection, by analyzing the spectrogram and further combination of Wavelet and Power Spectral Density techniques. Theoretical development and experimental results are presented to support the research.