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  • Sun Fang, Wei Zijie
  • 2007 Chinese Control Conference
  • 2006
Based upon wavelet packet analysis and radial basis function (RBF) neural network, a method for the fault diagnosis of roller bearings is proposed in this paper. Firstly, wavelet package was used to decompose vibration time signals of bearing to extract the characteristic values-wavelet packet energy, and features were input into the RBF NN. After training,(More)
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