Adaptive Bearing Fault Diagnosis based on Wavelet Packet Decomposition and LMD Permutation Entropy

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Bearing fault signal is nonlinear and non-stationary,therefore proposed a fault feature extraction method based on wavelet packet decomposition( WPD) and local mean decomposition( LMD) permutation entropy,which is based on the support vector machine( SVM)
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