基于改进Bootstrap-Bayes的电子式剩余电流动作断路器可靠性评估

doi:10.19595/j.cnki.1000-6753.tces.210229

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Abstract

As a kind of high reliability and long-life product, the electronic residual current operated circuit breaker has few test data. In order to evaluate its reliability, a reliability evaluation method based on improved Bootstrap-Bayes was proposed. Firstly, with temperature as the accelerated stress, the accelerated degradation test for the residual current operated circuit breaker was carried out. The pseudo failure life was obtained by extrapolating the degradation data, and it was verified to obey the two-parameter Weibull distribution. Then, the GM(1, 1) model was used to expand the experimental data as the prior information, and the parameter estimates were obtained by Gibbs sampling in the Markov Chain Monte Carlo (MCMC) algorithm combined with Bayes formula. Finally, the Arrhenius acceleration model was used to evaluate the reliability of the residual current operated circuit breaker under normal use environment.

Key words： Electronic residual current operated circuit breaker GM(1,1) model Bootstrap sampling Bayes Markov Chain Monte Carlo (MCMC) reliability evaluation

Received: 24 February 2021

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TM506

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	Articles by authors
	Liu Guojin
	Wang Ze
	Li Xiang
	Zhao Xingzhou
	Miao Jianhua

Cite this article:

Liu Guojin,Wang Ze,Li Xiang等. Reliability Evaluation of Electronic Residual Current Operated Circuit Breakers Based on Improved Bootstrap-Bayes[J]. Transactions of China Electrotechnical Society, 2022, 37(16): 4250-4258.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.210229 OR https://dgjsxb.ces-transaction.com/EN/Y2022/V37/I16/4250

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