Compound faults diagnosis method of rolling bearing based on sparse representation of cascaded over complete dictionary

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Journal of Vibration and Shock ›› 2021, Vol. 40 ›› Issue (10) : 174-179.

ZHENG Sheng,LIU Tao,LIU Chang,LI Hua

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Abstract

Aiming at the problem that multi fault features of rolling bearing are coupled and difficult to diagnose, a bearing compound faults diagnosis method is proposed, which combines cascaded over complete dictionary with feature sign search algorithm (FSS) based on the optimization principle of basis pursuit de-noising.According to the characteristics of the bearing fault impulse response signal, the unit impulse response function of the bearing damping second-order system is used as the basis function of the cascaded over complete dictionary, and the parameters of the dictionary are obtained by the correlation filtering method.Combining the obtained dictionary, using the feature sign search algorithm to sparsely decompose and reconstruct different types of fault impact components in the signal, and then realize the separation and extraction of each fault feature.The analysis results of the simulated and measured signals of bearing compound faults show that the proposed method can effectively separate and extract various fault features in compound faults, and at the same time has excellent robustness to noise reduction.

Key words

bearing compound faults / cascaded over complete dictionary / basis pursuit de-noising / feature sign search(FSS);correlation filtering

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ZHENG Sheng,LIU Tao,LIU Chang,LI Hua. Compound faults diagnosis method of rolling bearing based on sparse representation of cascaded over complete dictionary[J]. Journal of Vibration and Shock, 2021, 40(10): 174-179

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