Fault diagnosis of rolling bearings using optimal demodulation frequency band based on enhanced entropy weight kurtosis graph

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Journal of Vibration and Shock ›› 2019, Vol. 38 ›› Issue (17) : 24-31.

LI Hongxian1,2, TANG Baoping1, HAN Yan1, DENG Lei1

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Abstract

Aiming at shortcomings of poor accuracy and easy to be interfered by random impacts during selecting faulty rolling bearing’s optimal resonance demodulation frequency band using kurtosis index, the enhanced entropy weight Kurtosis graph was proposed to select optimal demodulation frequency band for rolling bearings’ fault diagnosis.Firstly, kurtosis index, variation coefficient, margin index and smoothness factor etc.were chosen to characterize a faulty bearing’s transient impact features from different angles to avoid defects of poor robustness and lower anti-disturbance ability of a single index under the actual monitoring and operating environment.Then, the entropy weight method was used to calculate the comprehensive attribute objective weight for multiple evaluation indexes.In order to enhance bearing transient impact characterization and suppress other information interference, evaluation indexes were enhanced and merged to form a new evaluation index, and the resonant demodulation center and bandwidth were accurately chosen.Finally, the enhanced entropy weight Kurtosis graph was generated with the 1/3-binary tree strategy to adaptively identify a faulty bearing’s optimal demodulation frequency band.Through test analysis for actual measured signals and simulated ones and compared with fast speed kurtosis graphs under different interferences, it was shown that the proposed method can be used to more accurately identify faulty bearing resonant frequency band, and it has a higher robustness.

Key words

rolling bearing / kurtogram / entropy weight method / optimal frequency band / fault diagnosis

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LI Hongxian1,2, TANG Baoping1, HAN Yan1, DENG Lei1. Fault diagnosis of rolling bearings using optimal demodulation frequency band based on enhanced entropy weight kurtosis graph[J]. Journal of Vibration and Shock, 2019, 38(17): 24-31

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