A rotating machinery fault diagnosis method based on fusing vector power spectrum and D-S evidence theory
Hongwei Li · Journal of Zhengzhou University of Light Industry · 2012
A rotating machinery fault diagnosis method based on fusing vector power spectrum and D-S evidence theory was presented.The method was that two-section information was fused respectively in data layer by vector power spectrum,and then the characteristics which were extracted from the vector power spectrum were input to the basis probabilistic neural network classifier for fault identification,and finally,the two-section diagnosis results were entered into D-S evidence theory for decision level fusion.The experiment results showed that the method reduces the diagnostic uncertainty and had high correct recognition rate.