Bayesian Analysis of Incomplete Data from Accelerated Life Testing with Competing Failure Modes

摘要：

A Bayesian method is proposed for analyzing incomplete data obtained from constant stress accelerated life testing when there are two or more failure modes,or competing failure modes.The incompleteness is mainly due to censoring, as well as masking which might be the case that the failure time is observed,but its corresponding failure mode is not identified.Furthermore,sensitivity analysis is performed to check model sensitivity.The method is illustrated by an example for validation,which also shows that the method provides better estimators than MLE by incorporating available prior information in the case of small sample sizes.

关键词： accelerated life testing competing failure modes incomplete data Bayesian analysis Monte Carlo simulation

作者: Yuanyuan Tan Chunhua Zhang Xun Chen

作者单位: College of Mechatronics Engineering and Automation National University of Defense Technology Changsha 410073,China

会议类型: 国际会议

会议名称: 2009 8th International Conference on Reliability,Maintainability and Safety(第八届中国国际可靠性、维修性、安全性会议)

会议地点: 成都

会议语种:英文

页码: 1268-1272

在线出版日期: 2009-08-24（万方平台首次上网日期，不代表论文的发表时间）