Reliability Assessment of Gamma Deteriorating System Based on Bayesian Updating

摘要：

Degradation data can provide with useful information about the reliability assessment for highly reliable products.In this paper, a method based on performance degradation data is proposed to assess reliability of high reliable long life time products.The degradation process can be described as a gamma process, and then reliability can be assessed based on analysis on failure physical mechanism.In order to adjust the degradation modeling according to the actual inspection results, a Bayesian updating method to improve the lifetime distribution is also proposed.Finally, a numerical example is given to illustrate the efficiency of the proposed method.The results presented in the case study show that the updating model can describe the degradation characteristics more accurate than the original one.

关键词： Reliability assessment performance degradation gamnta process Bayesian updating

作者: Guo Bo Tan Lin

作者单位: School of Information Systems & Management National University of Defense Technology Changsha,China School of Information Systems & Management National University of Defense Technology Chanesha,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: 429-432

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）