Generalized composite multiscale permutation entropy and PCA based fault diagnosis of rolling bearings

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Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (20) : 61-66.

ZHENG Jinde,LIU Tao,MENG Rui,LIU Qingyun

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Abstract

Multiscale permutation entropy (MPE) can effectively extract the nonlinear dynamic fault feature from vibration signals of rolling bearings.Aiming at the problem of coarse-graining in MPE, a new nonlinear dynamic method called generalized composite multiscale permutation entropy (GCMPE) was proposed.GCMPE was compared with the MPE by analyzing simulation data and also the influence of parameters on GCMPE calculation was studied.Then GCMPE was applied to the extraction of nonlinear fault feature from vibration signal of rolling bearings and a new rolling bearing fault diagnosis method based on GCMPE, principal component analysis and support vector machine was presented.Finally, the proposed method was applied to analyze experimental data of rolling bearing and the results show that the proposed method can effectively realize the fault diagnosis of rolling bearings and has a higher fault recognition rate.

Key words

permutation entropy / multiscale permutation entropy / PCA / rolling bearing / fault diagnosis

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ZHENG Jinde,LIU Tao,MENG Rui,LIU Qingyun. Generalized composite multiscale permutation entropy and PCA based fault diagnosis of rolling bearings[J]. Journal of Vibration and Shock, 2018, 37(20): 61-66

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