To explore the wear law of a circuit breaker mechanism system in SF_6 atmosphere, experiments were done on a self-developed pin-bushing friction and wear tester with the orthogonal test method, and a wear prediction model was established based on the neural network.Considering the clearances in revolute joints, the kinematic parameters were got by using the ADAMS simulation software based on an elastic-damping contact force model, then the trained Elman model was employed to predict the wear of dangerous joints through repeated iteration.It can be seen from analysis that wear occurs seriously in some special areas on the bushing surface, and more seriously in the test atmosphere than in the air.The research provides the theoretical basis for the optimization and fault diagnosis of the circuit breaker mechanism, and also offers a method to analyze the couple phenomena between various kinematic parameters and the joint wear.
刘创,刘宏昭,张磊,李来. 考虑气氛环境的含间隙断路器传动机构磨损预测[J]. 振动与冲击, 2018, 37(18): 67-72.
LIU Chuang,LIU Hongzhao,ZHANG Lei,LI Lai. Wear prediction of a circuit breaker transmission mechanism with joint clearances considering the atmosphere environment. JOURNAL OF VIBRATION AND SHOCK, 2018, 37(18): 67-72.
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