机械与电子2024，Vol.42Issue(4)：9-14,6.
融合新旧产品退化信息的可靠性建模研究
Research on Reliability Modeling by Integrating Old and New Product Degradation Data Information
摘要
Abstract
A reliability evaluation model was established for two-stage degenerate data with variable coefficients.This model utilized Bayesian fusion to integrate new product Truncated data and two-stage degenerate data from similar products.It also incorporated a variable coefficient piecewise regression model and the concept of change points.Firstly,the parameter estimates for similar product regression models were obtained by using Taylor expansion and a genetic algorithm,and then their distributions were fitted.Next,through integration with Bayesian methods,the expectation and variance of the new product parame-ter estimators in the second stage were obtained by combining the first stage degradation data of both new and old products.The model also took into account the continuity of the change points when establishing the stage relationship.By applying the distribution type and moment estimation method of similar product degradation,the distribution of the new product degradation and the piecewise reliability function were ob-tained.Finally,an example analysis was conducted to verify the effectiveness and accuracy of the model.关键词
变系数分段回归模型/截尾退化数据/贝叶斯方法/变点连续性/分段退化可靠性评估模型Key words
variable coefficient piecewise regression model/truncated degradation data/Bayesian meth-od/continuity of change point/piecewise degradation reliability assessment model分类
通用工业技术引用本文复制引用
吴怡,唐家银,王劲博,刘新玲..融合新旧产品退化信息的可靠性建模研究[J].机械与电子,2024,42(4):9-14,6.基金项目
西南交大首期来华留学全英语授课精品课程项目(LHJP[2023]10) （LHJP[2023]10）
教育部人文社会科学研究规划基金项目(20XJAZH009) （20XJAZH009）
西南交通大学教育教学研究与改革项目重点项目(20220320) （20220320）
