Composite fault diagnosis of rolling bearing based on OFMD and FSC

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Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (15) : 160-168.

TANG Guiji1,2, ZHANG Long1, XUE Gui1, XU Zhenli1, WANG Xiaolong1,2

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Abstract

Aiming at the problem of compound fault diagnosis of rolling bearing, a compound fault diagnosis method based on optimized feature mode decomposition and fast spectral correlation is studied in detail. Firstly, through theoretical analysis, the index of pulse energy factor is proposed to realize the parameter selection of feature mode decomposition and the selection of the optimal component. Then, based on the principle of fast spectral correlation, the spectral correlation relative strength curve and the improved fast spectral correlation graph are designed to determine the optimal carrier corresponding to different fault modulation, and the envelope processing of the optimal carrier is carried out, so as to separate the composite fault characteristics of the bearing and finally realize the accurate diagnosis of the composite fault. The results of simulated fault experiments and engineering case analysis show that compared with empirical mode decomposition, the proposed method can effectively filter noise interference and has good robustness. At the same time, it can avoid the defects of understanding parameters set by convolution method, and can effectively separate composite fault features and avoid the coupling of composite fault feature components compared with Autogram method.

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rolling bearing / compound fault / feature separation / feature mode decomposition / fast spectral correlation

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TANG Guiji1,2, ZHANG Long1, XUE Gui1, XU Zhenli1, WANG Xiaolong1,2. Composite fault diagnosis of rolling bearing based on OFMD and FSC[J]. Journal of Vibration and Shock, 2024, 43(15): 160-168

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