Time–Frequency Analysis for Efficient Fault Diagnosis and Failure Prognosis for Interior Permanent-Magnet AC Motors

@article{Strangas2008TimeFrequencyAF,
  title={Time–Frequency Analysis for Efficient Fault Diagnosis and Failure Prognosis for Interior Permanent-Magnet AC Motors},
  author={Elias G. Strangas and Selin Aviyente and Syed Sajjad H. Zaidi},
  journal={IEEE Transactions on Industrial Electronics},
  year={2008},
  volume={55},
  pages={4191-4199}
}
The detection of noncatastrophic faults in conjunction with other factors can be used to determine the remaining life of an electric drive. As the frequency and severity of these faults increase, the working life of the drive decreases, leading to eventual failure. In this paper, four methods to identify developing electrical faults are presented and compared. They are based on the short-time Fourier transform, undecimated-wavelet analysis, and Wigner and Choi-Williams distributions of the… CONTINUE READING
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