Study of adaptive compound fault diagnosis of rolling bearing

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Journal of Vibration and Shock ›› 2016, Vol. 35 ›› Issue (10) : 145-150.

Xinna Ma1 Shaopu Yang2

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Abstract

In the process of bearing detection of freight car, compound faults are prevalent. Aimed at difficulty of separate the compound fault features from a single-channel vibration, the adaptive fault diagnosis based on notch filter is proposed. Firstly, original compound fault vibration signals are decomposed based on the empirical mode decomposition (EMD). Then vibration signals are reconstructed by the maximum of correlation coefficients of intrinsic mode functions (IMFS) and original signal. The primary fault can be diagnosed with spectrum analysis. Accordingly, original signal are filtered from the primary fault signals with adaptive notch filter system. Finally, subordinate fault can be diagnosed through the filtered signal. Research result of simulation and experimental signals indicate that the adaptive fault diagnosis based on notch filer can extract the primary and subordinate fault from the compound fault signals and is valuable for engineering application.

Key words

compound fault / rolling bearing / notch filter / empirical mode decomposition

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Xinna Ma1 Shaopu Yang2 . Study of adaptive compound fault diagnosis of rolling bearing[J]. Journal of Vibration and Shock, 2016, 35(10): 145-150

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