Comprehensive recognition of rolling bearing fault pattern and fault degrees based on two-layer similarity in phase space

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Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (4) : 178-184.

LIU Yongbin1,2,HE Bing1,LIU Fang1,ZHAO Yilei1,FANG Jian1

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Abstract

A comprehensive method for rolling bearing fault patterns and fault degree recognition based on two-layer algorithm structure of phase space similarity analysis was presented in this paper. In the first layer of the algorithm,the data were processed by the phase space reconstruction (PSR) to get a phase space which was equivalence in the topological sense. Then a sliding window was employed to chop the data segments and the normalized cross correlation function (NCC) was employed to execute similarity analysis,realizing the classification of bearing fault patterns. In the second layer,a SVR structure was trained by phase space similarity (PSS) that was obtained in different fault degree. The SVR structure was then used to recognize the fault degree. The results of experimental signal analysis show that the proposed method can effectively recognize comprehensive bearing fault pattern and fault degree. Compared with traditional methods,it shows an improvement in accuracy of recognition.

Key words

rolling bearing / fault diagnosis / phase space reconstruction / similarity analysis

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LIU Yongbin1,2,HE Bing1,LIU Fang1,ZHAO Yilei1,FANG Jian1. Comprehensive recognition of rolling bearing fault pattern and fault degrees based on two-layer similarity in phase space[J]. Journal of Vibration and Shock, 2017, 36(4): 178-184

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