Research on Bearing Fault Feature Extraction and Diagnosis Based on MMED+TQWT Method
In order to improve the fault diagnosis ability of blast-furnace gas residual pressure power plant(TRT)impeller,two methods of minimum entropy deconvolution MMED and adjustable quality factor wavelet transform TQWT are developed to diagnose impeller fault.First,MMED method is used to convert the initial vibra-tion signal to obtain more obvious fault impact components,and then TQWT decomposition is implemented on the pre-processed signals,and the corresponding quality factor Q is set,and then the optimal subband component is determined according to the kurtosis maximum principle and the envelope spectrum data is calculated to realize the fault diagnosis function of the impeller.The results show that the proposed method can significantly enhance the fault impact components and restrain the noise interference.From the envelope spectrum,it is obvious that the fre-quency characteristics are the same as the fault characteristic frequency of the impeller,forming a clear side fre-quency band,indicating that the fault characteristics have been formed in the impeller.
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