改进贝叶斯方法在可靠性评估中的应用

Lei Zhang, Guang Feng, Zhen Hu
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引用次数: 0

摘要

针对传统的小故障样本可靠性方法不能准确计算可靠性的问题,充分利用现有信息和专家信息等。在先验信息与约束无先验信息相结合的基础上,采用改进的贝叶斯方法建立可靠性。性分析模型。首先,根据先验信息对后验信息的可信度,采用加权融合的方法建立先验信息与约束和无先验信息相结合的联合先验分布;同时对联合先验分布的鲁棒性进行了分析;将先验分布与后验信息相结合,计算出分布参数的后验分布形式,并计算出分布参数值和平均故障间隔时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Application of Improved Bayesian Method in Reliability Evaluation
Aiming at the problem that the traditional reliability method with small failure samples cannot accurately calculate the reliability, this paper makes full use of existing information and expert information, etc. Based on the combination of prior information and constrained no prior information, the improved Bayesian method is used to establish reliability. Sexual analysis model. First, a weighted fusion method is used to establish a joint prior distribution that combines prior information with constrained and no prior information according to the credibility of the prior information to the posterior information. At the same time, the robustness of the joint prior distribution is analyzed; The prior distribution is combined with the posterior information to calculate the posterior distribution form of the distribution parameter, and the distribution parameter value and the mean time between failures are calculated.
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