基于数据迁移下Bayes特征融合可靠度评估模型

Bayes feature fusion reliability evaluation model based on data migration

基于同种产品的多类试验源寿命数据信息,利用不同数据源间的映射关系,将多源数据迁移至现场数据源中形成混合数据源,以此作为产品可靠性贝叶斯统计分析基础。对于不同应力下加速寿命数据,将其折算至常应力水平下确定参数分布密度函数解析,以此作为产品可靠性贝叶斯统计分析的先验条件。将贝叶斯统计模型与数据迁移模型进行结合,融合多源数据的同时确定其参数估计值,得到产品密度函数解析并完成产品可靠性分析。算例表明:该类模型利用数据源间映射关系可有效实现数据迁移,且能实现加速寿命数据与其他各类数据源的同步融合,融合样本数据后的产品可靠性综合评估比单一寿命数据源的产品可靠性评估更全面、客观。

Based on the life data information from multiple test sources,using the mapping relationship between different data sources,the multi-source data were migrated to the field data source to form a mixed data source,which was used as the basis for the Bayesian statistical analysis of product reliability.For the accelerated life data under different stresses,it was converted to the constant stress level to determine the parameter distribution density function,which was used as the priori condition for the product reliability Bayesian statistical analysis.By combining the Bayesian statistical model with the data migration model,and fusing multi-source data while determining the parameter estimates at the same time,the product density function and the product reliability analysis were obtained.The example showed that this model can effectively achieve data migration by utilizing the mapping relationship between data sources,and can accelerate the synchronous fusion of life data with other types of data sources.The comprehensive evaluation of product reliability after fusing sample data was more comprehensive and objective than that of a single life data source.