Systems Failure Modeling under Both Degradation And Shocks
Degradation and traumatic shocks are two common competing risks that cause failures of systems/products. In this paper, we review two approaches for modeling systems failure time distribution arising from the combined effects of degradation of a performance characteristic and multiple random shocks with large magnitude. The arrival pattern of random shocks is assumed to be a Poisson process, while the magnitude of shocks is a random variable. Simulation study is carried out to examine the performance of these two models. The results reveal that both two approaches can fit the data well.
HAIYAN XU ZHISHENG YE LOON CHING TANG
Department of Industrial & Systems Engineering, National University of Singapore Department of Industrial & Systems Engineering, National University of Singpore
国际会议
北京
英文
908-913
2011-06-20(万方平台首次上网日期,不代表论文的发表时间)