Incipient Fault Diagnosis of Rolling Element Bearing Based on Adaptive Maximum Correlated Kurtosis Deconvolution

Liu Xiao-feng, Chen Kun-hong

Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (22) : 80-85.

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PDF(1467 KB)
Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (22) : 80-85.

Incipient Fault Diagnosis of Rolling Element Bearing Based on Adaptive Maximum Correlated Kurtosis Deconvolution

  • Liu Xiao-feng, Chen Kun-hong
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Abstract

Aiming at the problem that the feature of incipient fault of rolling element bearing is difficult to be extracted under strong noise background, a fault diagnosis method based on MCKD and symmetrical differencing energy operator demodulation was proposed. For the filter size L and the period of interesting signal T play an important role in MCKD filtering, an adaptive MCKD filter which is based on cyclic correlation and LPSO was proposed, that can search for the best parameters automatically. The feature after filtering was outstanding, but some residual noise is still contained. To reduce the residual noise and get the demodulation spectrum, symmetrical differencing energy operator demodulation is used after filtering. The result of incipient fault diagnosis of rolling element bearing shows that this method is effective.

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Liu Xiao-feng, Chen Kun-hong. Incipient Fault Diagnosis of Rolling Element Bearing Based on Adaptive Maximum Correlated Kurtosis Deconvolution[J]. Journal of Vibration and Shock, 2017, 36(22): 80-85

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