Aiming at the shortcomings of multipoint optimal minimum entropy deconvolution adjusted (MOMEDA) method, which cannot automatically identify the fault impulse period and shorten the length of deconvolved signal when enhancing bearing fault features, an improved MOMEDA (IMOMEDA) method is proposed. The autocorrelation spectrum of square envelope of the vibration signal is used to adaptively identify the fault period, and the estimated impulse period is used to deconvolve the vibration signal to enhance the periodic impulse features. Then the signal waveform extension method is used to extend the deconvolved signal to make its length consistent with the original signal. Finally, the obtained filtered signal is deconvolved for a certain number of times to effectively enhance the periodic features of the original signal. The analysis results of simulated bearing fault signal and railway bearing experiment signals and the comparisons with Kurtogram method show that the improved MOMEDA method can automatically identify the fault impulse period and effectively enhance the fault characteristics of rolling bearing.
|Translated title of the contribution
|Improved MOMEDA method and its application to fault feature enhancement of rolling element bearings
|Number of pages
|Jixie Qiangdu/Journal of Mechanical Strength
|Published - 15 Feb 2021