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基于Wiener过程和竞争失效分析的系统可靠性评估(英文) 被引量:3

System reliability assessment based on Wiener process and competing failure analysis
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摘要 考虑突发失效和性能退化之间的相关性和竞争关系,研究了基于竞争失效分析的产品可靠性评估问题.将突发失效的发生率视为性能退化量的函数,并采用Weibull分布加以描述;利用Wiener过程描述性能退化过程,采用极大似然估计法估计模型参数;提出了一种基于竞争失效分析的可靠性评估模型.以一种GaAs激光器性能退化和失效数据为例,验证模型及其求解方法的有效性.结果表明:若仅考虑退化失效将使得评估结果偏向乐观,突发失效与退化失效的相关性对可靠性评估的准确性有很大影响. Considering the dependence and competitive relation-ship between traumatic failure and degradation,the reliability assessment of products based on competing failure analysis is studied.The hazard rate of traumatic failure is regarded as a Weibull distribution of the degradation performance,and the Wiener process is used to describe the degradation process.The parameters are estimated with the maximum likelihood estimation(MLE)method.A reliability model based on competing failure analysis is proposed.A case study of the GaAs lasers is given to validate the effectiveness of the model and its solving method.The results indicate that if only the degradation failure is considered,the estimated result will be comparably optimistic.Meanwhile,the correlation between the degradation and traumatic failure has a great influence on the accuracy of reliability assessment.
作者 苏春 张烨
出处 《Journal of Southeast University(English Edition)》 EI CAS 2010年第4期554-557,共4页 东南大学学报(英文版)
基金 The National Natural Science Foundation of China(No.50405021)
关键词 退化数据 WIENER过程 竞争失效 可靠性评估 degradation data Wiener process competing failure reliability assessment
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  • 1邓爱民,陈循,张春华,汪亚顺.基于性能退化数据的可靠性评估[J].宇航学报,2006,27(3):546-552. 被引量:133
  • 2Li W J, Pham H. Reliability modeling of multi-state de- graded systems with multi-competing failures and random shocks[ J ]. IEEE Transactions on Reliability, 2005, 54 (2) : 297 - 303.
  • 3Lehmann A. Joint modeling of degradation and failure time data [ J ]. Journal of Statistical Planning and Infer- ence, 2009, 139(5) : 1693 - 1706.
  • 4Klutke G A, Yang Y J. The availability of inspected sys- tems subjected to shocks and graceful degradation[ J ]. IEEE Transactions on Reliability, 2002, 51(3 ) : 371 -374.
  • 5Deloux E, Castanier B, Berenguer C. Predictive mainte- nance policy for a gradually deteriorating system subject to stress [ J]. Reliability Engineering and System Safety, 2009, 94(2) : 418 -431.
  • 6Kijima M, Nakagawa T. A cumulative damage shock model with imperfect preventive maintenance [J ]. Naval Research Logistics, 1991, 38(2) : 145 - 156.
  • 7Chen J Y, Li Z H. An extended extreme shock mainte- nance model for a deteriorating system [ J ]. Reliability Engineering and System Safety, 2008, 93 ( 8 ) : 1123 - 1129.
  • 8Allan Gut. Mixed shock models[J]. Bernoulli, 2001, 7 (3) : 541 - 555.
  • 9Bai J M, Li Z H, Kong X B, Generalized shock models based on a cluster point process [ J ]. IEEE Transactions on Reliability, 2006, 55(3 ) :542 - 550.
  • 10Peng H, Feng Q M, Coit D W. Reliability and mainte- nance modeling for systems subject to multiple dependent competing failure processes[ J]. liE Transactions, 2010, 43(1) :12 -22.

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