Integral Inference Method of Incomplete Reliability Information With Reliability Growth Model Under Delayed Fix Mode

摘要：

　　In order to solve the reliability estimation with incomplete reliability information in different development stages of products,an integral inference method is given in this paper.By using the maximum likelihood method,the log-likelihood function for the type-I censored and grouped data is established.The point estimation of parameters and the covariance between them are also obtained.At last,a lot of Monte Carlo simulation is adopted to prove the method given in this paper is better than the traditional method.Because the method given in this paper can make the reliability data in different stages an integral for statistical analysis,it can reach higher precision than the traditional method.

关键词： integral inference reliability growth model delayed fix mode

作者: Ao Liang Qihua Wang Xin Wang

作者单位: China Aero-Polytechnology Establishment Beijing, China

会议类型: 国际会议

会议名称: 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering & The 3rd International Conference on Maintenance Engineering (2012质量,可靠性,风险,维修性及安全性工程国际会议(QR2MSE 2012 & ICME 2012))

会议地点: 成都

会议语种:英文

页码: 344-346

在线出版日期: 2012-06-15（万方平台首次上网日期，不代表论文的发表时间）