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.
刘帼巾, 王泽, 李想, 赵兴洲, 缪建华. 基于改进Bootstrap-Bayes的电子式剩余电流动作断路器可靠性评估[J]. 电工技术学报, 2022, 37(16): 4250-4258.
Liu Guojin, Wang Ze, Li Xiang, Zhao Xingzhou, Miao Jianhua. Reliability Evaluation of Electronic Residual Current Operated Circuit Breakers Based on Improved Bootstrap-Bayes. Transactions of China Electrotechnical Society, 2022, 37(16): 4250-4258.
[1] 李奎, 王天朔, 王尧, 等. 基于数字恒流技术的B型剩余电流动作特性测试方法的研究[J]. 电测与仪表, 2020, 57(1): 147-152.
Li Kui, Wang Tianshuo, Wang Yao, et al.Research on test method of type B residual current operating characteristic based on digital constant current technology[J]. Electrical Measurement & Instru- mentation, 2020, 57(1): 147-152.
[2] 郑荣进, 丁柯婷, 黄晓生, 等. 剩余电流保护断路器动作特性自动测试系统设计[J]. 福建工程学院学报, 2018, 16(4): 381-385.
Zheng Rongjin, Ding Keting, Huang Xiaosheng, et al.An action characteristic automatic test system design of residual current protection circuit breaker[J]. Journal of Fujian University of Technology, 2018, 16(4): 381-385.
[3] 刘帼巾, 边鑫磊, 马晓燕, 等. 剩余电流动作断路器动作特性检测装置的研究[J]. 电测与仪表, 2018, 55(8): 113-118.
Liu Guojin, Bian Xinlei, Ma Xiaoyan, et al.Research on the detection device for the operating charac- teristics of leakage circuit breakers[J]. Electrical Measurement and Instrumentation, 2018, 55(8): 113-118.
[4] 边鑫磊. 温湿度对电子式剩余电流动作断路器性能影响的研究[D]. 天津: 河北工业大学, 2017.
[5] 游颖敏, 王景芹, 舒亮, 等. 基于音频特征的交流接触器电寿命预测方法[J]. 电工技术学报, 2021, 36(9): 1986-1998.
You Yingmin, Wang Jingqin, Shu Liang, et al.The method of electrical life prediction considering the audio characteristics of AC contactor[J]. Transactions of China Electrotechnical Society, 2021, 36(9): 1986-1998.
[6] 肖迁, 焦志鹏, 穆云飞, 等. 基于LightGBM的电动汽车行驶工况下电池剩余使用寿命预测[J]. 电工技术学报, 2021, 36(24): 5176-5185.
Xiao Qian, Jiao Zhipeng, Mu Yunfei, et al.LightGBM based remaining useful life prediction of electric vehicle lithium-ion battery under driving condi- tions[J]. Transactions of China Electrotechnical Society, 2021, 36(24): 5176-5185.
[7] 吴海洋, 缪巍巍, 郭波, 等. 基于遗传算法的BP神经网络蓄电池寿命预测研究[J]. 计算机与数字工程, 2019, 47(5): 1275-1278.
Wu Haiyang, Miao Weiwei, Guo Bo, et al.Research on battery life prediction of BP neural network based on genetic algorithm[J]. Computer & Digital Engin- eering, 2019, 47(5): 1275-1278.
[8] 李志刚, 刘伯颖, 李玲玲, 等. 基于小波包变换及RBF神经网络的继电器寿命预测[J]. 电工技术学报, 2015, 30(14): 233-240.
Li Zhigang, Liu Boying, Li Lingling, et al.Life prediction of relay based on wavelet packet transform and RBF neural network[J]. Transactions of China Electrotechnical Society, 2015, 30(14): 233-240.
[9] 李奎, 高志成, 武一, 等. 基于统计回归和非线性Wiener过程的交流接触器剩余寿命预测[J]. 电工技术学报, 2019, 34(19): 4058-4070.
Li Kui, Gao Zhicheng, Wu Yi, et al.Remaining life prediction of AC contactors based on statistical regression and nonlinear Wiener process[J]. Transa- ctions of China Electrotechnical Society, 2019, 34(19): 4058-4070.
[10] Ibrahim M S, Fan Jiajie, Yung W K C, et al. Lumen degradation lifetime prediction for high-power white LEDs based on the Gamma process model[J]. IEEE Photonics Journal, 2019, 11(6): 1-16.
[11] 徐佳宁, 倪裕隆, 朱春波. 基于改进支持向量回归的锂电池剩余寿命预测[J]. 电工技术学报, 2021, 36(17): 3693-3704.
Xu Jianing, Ni Yulong, Zhu Chunbo.Remaining useful life prediction for lithium-ion batteries based on improved support vector regression[J]. Transa- ctions of China Electrotechnical Society, 2021, 36(17): 3693-3704.
[12] 范贤浩, 刘捷丰, 张镱议, 等. 融合频域介电谱及支持向量机的变压器油浸纸绝缘老化状态评估[J]. 电工技术学报, 2021, 36(10): 2161-2168.
Fan Xianhao, Liu Jiefeng, Zhang Yiyi, et al.Aging evaluation of transformer oil-immersed insulation combining frequency domain spectroscopy and support vector machine[J]. Transactions of China Electrotechnical Society, 2021, 36(10): 2161-2168.
[13] 王琪, 孙玉坤, 倪福银, 等. 一种混合动力电动汽车电池荷电状态预测的新方法[J]. 电工技术学报, 2016, 31(9): 189-196.
Wang Qi, Sun Yukun, Ni Fuyin, et al.A new method of battery state of charge prediction in the hybrid electric vehicle[J]. Transactions of China Electro- chnical Society, 2016, 31(9): 189-196.
[14] 王丰华, 曾全昊, 郑一鸣, 等. 基于Bayes估计相空间融合和CM-SVDD的有载分接开关机械故障诊断[J]. 中国电机工程学报, 2020, 40(1): 358-368, 402.
Wang Fenghua, Zeng Quanhao, Zheng Yiming, et al.A mechanical fault diagnosis of on- load tap- changers based on phase space fusion of Bayes estimation and CM-SVDD[J]. Proceedings of the CSEE, 2020, 40(1): 358-368, 402.
[15] Wu Min, Shi Yimin, Wang Yan.E-Bayesian estimation for competing risk model under pro- gressively hybrid censoring[J]. Journal of Systems Engineering and Electronics, 2016, 27(4): 936-944.
[16] 王新鹏, 张静远, 张洪刚. 无失效数据条件下装备贮存可靠性分析[J]. 系统工程与电子技术, 2019, 41(5): 1169-1172.
Wang Xinpeng, Zhang Jingyuan, Zhang Honggang.Reliability analysis for equipment in storage with zero-failure data[J]. Systems Engineering and Elec- tronics, 2019, 41(5): 1169-1172.
[17] 宋征宇, 方志耕, 赫武乐, 等. 基于贝叶斯理论的小子样运载火箭可靠性评估技术[J]. 深空探测学报(中英文), 2021, 8(1): 62-69.
Song Zhengyu, Fang Zhigeng, He Wule, et al.Research on reliability assessment methods of small sample based on Bayes theory[J]. Journal of Deep Space Exploration, 2021, 8(1): 62-69.
[18] 聂萌. 数控机床主轴可靠性分析[D]. 长春: 东北电力大学, 2019.
[19] Lakshminarayanan V, Sriraam N.The effect of temperature on the reliability of electronic com- ponents[C]//2014 IEEE International Conference on Electronics, Computing and Communication Tech- nologies, Bangalore, 2014: 1-6.
[20] Dejamkhooy A, Dastfan A, Ahmadyfard A.Modeling and forecasting nonstationary voltage fluctuation based on grey system theory[J]. IEEE Transactions on Power Delivery, 2017, 32(3): 1212-1219.
[21] 刘思捷, 张海鹏, 林舜江, 等. 夏季日最大降温负荷的估算和预测方法[J]. 电力系统保护与控制, 2016, 44(5): 75-81.
Liu Sijie, Zhang Haipeng, Lin Shunjiang, et al.An estimating and forecasting method for daily maximum cooling load in summer[J]. Power System Protection and Control, 2016, 44(5): 75-81.
[22] Zheng Zhen, Zha Bingting, Yuan Hailu, et al.Adaptive edge detection algorithm based on improved grey prediction model[J]. IEEE Access, 2020, 8: 102165-102176.
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