考虑竞争失效的多阶段二元随机退化系统可靠性建模与分析
Reliability Modeling and Analysis of Considering Competition Failure Multi-Stage Bivariate Stochastic Degradation Systems
摘要: 针对具有两个相关性能指标的随机退化系统,考虑竞争失效和退化过程的多阶段特征,采用Copula函数描述性能指标间的相关关系,建立考虑竞争失效的多阶段二元随机退化系统模型。推导了系统可靠度的解析表达式,提出基于蒙特卡洛方法模拟系统可靠度的流程步骤,得到系统可靠度的模拟解,并验证了解析解的正确性。最后,通过数值算例验证模型的有效性。
Abstract: In the paper, for stochastic degenerate systems with two correlated performance indexes, considering the multi-stage characteristics of competition failure and degradation process, and by using Copula function to describe the correlation between performance indicators, a multi-stage binary stochastic degenerate system model considering competition failure is established. Explicit expression of the system reliability is given, and a numerical simulation algorithm based on Monte Carlo simulation is proposed, which verifies the correctness of the analytical results. Finally, some numerical examples are given to show the effectiveness of the proposed model.
文章引用:秦红志, 董庆来, 王伟伟. 考虑竞争失效的多阶段二元随机退化系统可靠性建模与分析[J]. 应用数学进展, 2021, 10(4): 1063-1075. https://doi.org/10.12677/AAM.2021.104115

参考文献

[1] 杨志远, 赵建民, 李俐莹, 等. 二元相关退化系统可靠性分析及剩余寿命预测[J]. 系统工程与电子技术, 2020, 42(11): 2661-2668.
[2] 韩玉成, 杨志远, 李俐莹. 多元相关性退化系统可靠性模型[J]. 现代机械, 2020(1): 29-33.
[3] 徐志昆, 刘赪, 唐家银, 等. 基于混合相关竞争失效的多性能退化数据可靠性模型[J]. 重庆理工大学学报(自然科学), 2020(1): 259-268.
[4] 胡启国, 周松. 基于Vine Copula模型的失效相关机械零件可靠性分析[J]. 机械强度, 2019, 41(6): 1365-1371.
[5] 周义蛟, 郭基联, 万巍, 等. 基于Wiener和Copula函数性能退化模型的减推力起飞可靠性收益评估研究[J]. 推进技术, 2019, 40(3): 667-674.
[6] 刘小平, 郭斌, 崔德军, 等. 基于二元维纳过程的小样本齿轮泵可靠寿命预测[J]. 中国机械工程, 2020, 31(11): 1315-1322.
[7] 鲍兆伟. 基于Copula函数的多参数退化评估方法研究[D]: [硕士学位论文]. 南京: 南京理工大学, 2018.
[8] 李泽慧, 白建明, 孔新兵. 冲击模型: 进展与应用[J]. 数学进展, 2007, 36(4): 385-398.
[9] 刘汉葱, 刘赪, 张诚, 等. 随机δ冲击下多相关退化的竞争失效可靠性评估[J]. 重庆工商大学学报(自然科学版), 2019, 36(5): 44-51.
[10] 刘汉葱, 唐家银, 刘赪, 等. 随机冲击下多相关退化的竞争失效可靠性模型[J]. 重庆理工大学学报(自然科学), 2019, 33(6): 227-235.
[11] 杨志远, 赵建民, 程中华, 等. 基于退化相关性分析的竞争失效系统可靠性模型[J]. 兵工学报, 2020, 41(7): 1423-1433.
[12] 黄文平, 周经伦, 宁菊红, 等. 基于变失效阈值的竞争失效可靠性模型[J]. 系统工程与电子技术, 2017, 39(4): 941-946.
[13] 郑英, 马秋会, 张永, 等. 一种基于锂电池退化阶段划分的剩余使用寿命的预测方法[P]. 中国专利, CN110161425A. 2019-08-23.
[14] Dong, Q.L. and Cui, L.R. (2020) Reliability Analysis of a System with Two-Stage Degradation Using Wiener Processes with Piecewise Linear Drift. IMA Journal of Management Mathematics, 32, 3-29. [Google Scholar] [CrossRef
[15] Dong, Q.L., Cui, L.R. and Si, S.B. (2020) Reliability and Availability Analysis of Stochastic Degradation Systems Based on Bivariate Wiener Processes. Applied Mathematical Modelling, 79, 414-433. [Google Scholar] [CrossRef
[16] Gao, H.D., Cui, L.R. and Kong, D.J. (2018) Reliability Analysis for a Wiener Degradation Process Model under Changing Failure Thresholds. Reliability Engineering & System Safety, 171, 1-8.
[17] Shi, S.R., Li, Y. and Wan, C. (2018) Robust Continuous Piecewise Linear Regression Model with Multiple Change Points. The Journal of Supercomputing, 76, 3623-3645. [Google Scholar] [CrossRef
[18] Farid, E. and Gail, I. (2016) Change-Point Detection in the Marginal Distribution of a Linear Process. Electronic Journal of Statistics, 10, 3945-3985. [Google Scholar] [CrossRef
[19] Burgess, W.L. (2009) Valve Regulated Lead Acid Battery Float Service Life Estimation Using a Kalman Filter. Journal of Power Sources, 191, 16-21. [Google Scholar] [CrossRef
[20] Sklar, A. (1959) Fonctions de repartition a n dimensions et leursmarges. Publication de l’Institut de Statistique de 1’Universite de Paris, 1, 229-231.
[21] 王乾元, 袁宏杰, 徐如远. 两阶段变阈值关联竞争退化建模[J]. 北京航空航天大学学报, 2020, 46(2): 398-406.
[22] 宋月, 冯海林. Poisson过程到达时间和到达时间间隔序列探究[J]. 知识文库, 2020(1): 191-192.
[23] 王小林. 基于非线性Wiener过程的产品退化建模与剩余寿命预测研究[D]: [博士学位论文]. 长沙: 国防科学技术大学, 2014.
[24] 贾旭杰, 徐凡启, 松雪莹. 考虑动态相依性的可靠性系统随机Copula模型及其参数估计[J]. 数理统计与管理, 2019, 38(2): 261-269.