Bayesian Inference of Weibull Distribution Based on Probability Encoding Method

摘要：

Weibull distribution has been widely used in practical reliability engineering due to its flexibility of capturing various characteristics of failure data and trend. Many methods have been introduced to deal with the parameters estimation of Weibull distribution. In this paper, Bayesian method integrated with the probability encoding method is proposed to estimate the unknown parameters of Weibull distribution. The probability encoding method is capability of eliciting the prior distribution of Bayesian inference by transforming the subjective information from experts’ judgments. The unknown parameters of Weibull distribution, therefore, can be inferred by combining both field data and the derived prior information. Demonstrated by the case study, the proposed method is able to handle the subjective information in a proper and effective manner.

关键词： Weibull distribution probability encoding method parameter estimation Bayesian method

作者: Haiqing LI Rong YUAN Weiwen PENG Yu LIU Hong-Zhong HUANG

作者单位: School of Mechatronics Engineering University of Electronic Science and Technology of China Chengdu, China

会议类型: 国际会议

会议名称: 2011 International Conference on Quality,Reliability,Risk,Maintenance,and Safety Engineering(2011年质量、可靠性、风险、维修性与安全性国际会议暨第二届维修工程国际学术会议 ICQR2MSE 2011)

会议地点: 西安

会议语种:英文

页码: 383-386

在线出版日期: 2011-06-17（万方平台首次上网日期，不代表论文的发表时间）