Study on Fault Recognition Method of Rolling Bearings based on Classifier Ensembles

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Journal of Vibration and Shock ›› 2010, Vol. 29 ›› Issue (10) : 221-224,.

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Study on Fault Recognition Method of Rolling Bearings based on Classifier Ensembles

Dou Dongyang;Zhao Yingkai

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Abstract

A method to construct a data-based classifier ensemble used in fault diagnosis of rolling bearings was presented. The candidate reducts which could be used to build the base classifiers were found by applying a genetic algorithm for feature reduction on a decision table, and then the other genetic algorithm for diversity evaluation was used to search the ensemble of base classifiers. Based on the result above and the weighted voting strategy, the final solution for pattern classification could be set up. It is proved by the diagnosis experiment including normal condition, inner race faults, outer race faults and rolling elements faults that the method proposed in this paper is valid and the result obtained is exciting.

Key words

Classifier ensemble / Reduct / Diversity / Rolling bearing / Fault recognition

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Dou Dongyang;Zhao Yingkai. Study on Fault Recognition Method of Rolling Bearings based on Classifier Ensembles[J]. Journal of Vibration and Shock, 2010, 29(10): 221-224,