Using probabilistic neural networks with wavelet transform and principal components analysis for motor fault detection

@article{Karatoprak2008UsingPN,
  title={Using probabilistic neural networks with wavelet transform and principal components analysis for motor fault detection},
  author={E. Karatoprak and T. Senguler and Serhat Seker},
  journal={2008 IEEE 16th Signal Processing, Communication and Applications Conference},
  year={2008},
  pages={1-4}
}
This study represents an application of probabilistic neural networks along with multi resolution wavelet analysis, and principal components analysis to an induction motor which was applied to an accelerated aging process according to IEEE standard test procedures. In this manner, the algorithm first applies a multiresolution wavelet analysis to the vibration signals with Shannon entropy to calculate the feature vectors Then, principal components analysis is applied to the feature vectors… CONTINUE READING
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