Prediction of Remaining Service Life of Miniature Circuit Breakers Based on Wiener Process

Lin Ma, Linming Hou, Puquan He, Changxian Wang, Zhenhua Xie () and Yao Wang
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Lin Ma: Zhejiang Testing & Inspection Institute for Mechanical and Electrical Products Quality Co., Ltd., Hangzhou 310051, China
Linming Hou: Qingdao Haier Intelligent Technology Research and Development Co., Ltd., Qingdao 266101, China
Puquan He: Zhejiang Testing & Inspection Institute for Mechanical and Electrical Products Quality Co., Ltd., Hangzhou 310051, China
Changxian Wang: Zhejiang Testing & Inspection Institute for Mechanical and Electrical Products Quality Co., Ltd., Hangzhou 310051, China
Zhenhua Xie: Zhejiang Testing & Inspection Institute for Mechanical and Electrical Products Quality Co., Ltd., Hangzhou 310051, China
Yao Wang: Provincial and Ministerial Co-Construction Collaborative Innovation Center on Reliability Technology of Electrical Products, Hebei University of Technology, Tianjin 300130, China

Energies, 2025, vol. 18, issue 14, 1-21

Abstract: In the operation of a power distribution system, miniature circuit breakers (MCBs) are subjected to the synergistic effect of electrical and mechanical stresses in service, and their operational performance is progressively degraded, which is prone to bring significant losses to the users after failures occur. In order to accurately predict the remaining electrical life of MCBs in service, MCB mechanical characterization and dynamic simulation are carried out, and the initial closing angle of MCBs is selected as the degradation characteristic quantity, so as to deeply analyze the evolutionary characteristics of the initial closing angle in the degradation of MCBs and to construct the electrical degradation model of the one-dimensional linear Wiener process in the present study. With the help of the Monte Carlo method, we carry out the electric life simulation analysis to investigate the intrinsic correlation between the degradation of electric performance and the initial closing angle, and we implement the electric life experiment under the 63 A working condition to analyze the dynamic change in the stiffening angle of the test samples. The parameters of the electrical performance degradation model are identified through the synergistic driving of the electrical life simulation data and the experimental data, the remaining electrical life prediction is realized based on the degradation data of the same batch of products, and the maximum prediction error of the proposed method is controlled within 15%.

Keywords: miniature circuit breaker; initial closing angle; remaining life prediction; Monte Carlo; Wiener process (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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