Study on the fault diagnosis of motor based on information fusion method
Guo Xi-jin · Journal of North China Electric Power University · 2012
For the rotor fault diagnosis of squirrel induction motor,characteristic values in current signal is Abstracted by wavelet package analysis technique,then signal is decomposed in three level,the noise signal is separated and analyzed by FFT energy analyses,which is used to judge the severity of broken bars.Preliminary diagnosis results can be obtained by using of the BP neural network for the training and inspection of the current signal energy characteristic values.Final result is obtained by utilizing the D-S evidence theory into the decision-making information fusion for the preliminary result.Experiment indicates that using multiply evidences fusion can improve the degree of accuracy to some extent.