1. Liren College, Yanshan University, Qinhuangdao, Hebei 066004, China
2. School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
3. School of Electrical Engineering, Hunan Industry Polytechnic, Changsha, Hunan 410208, China
Abstract In view of the problem that the extraction effect of the traditional stochastic resonance (SR) method for rolling bearing fault feature is unsatisfactory under strong background noise, a fault diagnosis method of rolling bearing based on improved coupling-enhanced SR is proposed. First, the coupled SR system is constructed by using a fixed-parameter bistable system forced by an external input signal and a variable-parameter bistable system. Second, the SR control of coupled system is realized by adjusting the system parameter and coupling coefficient. And the genetic algorithm is used to realize the adaptive selection of the control parameters. Finally, experiments and engineering application are performed to verify the effectiveness and superiority of the proposed method in the rolling bearing fault diagnosis.
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2019, Vol. 40 
