A intelligent detection method for rolling bearing Based on WCPSO-VPMCD

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Journal of Vibration and Shock ›› 2015, Vol. 34 ›› Issue (23) : 42-47.

LIU Jibiao1，Cheng Junsheng2,Ma Li2

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Abstract

Aiming at the unreasonable model selection method and the defect of lower recognition rate under the condition of smaller samples and multi-classification, combined with the global optimization ability of Particle swarm optimization with dynamic accelerating constant and coordinating with inertia weight (WCPSO) algorithm and weight fusion theory, an intelligent detection method for rolling bearing Based on WCPSO-VPMCD has been put forward. Firstly, characteristic variables of the samples are extracted, then WCPSO algorithm is used to optimize diagnosis combination weight matrix, finally, the work states and faults pattern of the rolling bearing can be classified and identified. The experimental results show that the method can be applied to rolling bearing intelligent detection effectively.

Key words

Particle swarm optimization with dynamic accelerating constant and coordinating with inertia weight (WCPSO) / Variable predictive model based class discriminate(VPMCD) / Weight fusion / Rolling bearing；Intelligent detection.

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LIU Jibiao1，Cheng Junsheng 2,Ma Li2. A intelligent detection method for rolling bearing Based on WCPSO-VPMCD[J]. Journal of Vibration and Shock, 2015, 34(23): 42-47

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