相关函数融合法及其在可靠性分析中的应用

Correlation Information Fusion Method and Application in Reliability Analysis

验前分布的获取与表示是Bayes小子样理论中的关键问题 ,尤其在验前信息多源性的情况下 ,更需要合理客观地综合利用这些信息 ,为统计判断提供充分的论据。随着科技的发展 ,可靠性试验分析等实际研究领域现场样本较少 ,而验前信息多源化的趋势日益明显。为此提出了一种基于相关函数的多源异总体信息融合技术 ,并通过仿真实例说明了该方法在可靠性试验分析研究中的应用。

How to achieve proper prior distribution is a key problem in Bayesian analysis. When prior information comes from different sources, rational and objective use of the information is needed. With the development of technology, especially in the field of reliability test analysis, the samples obtained from the practical tests have become insufficient, so it is necessary to make full use of the prior information coming from different sources. In this paper, a method based on correlation function to realize the fusion of information from multiple sources is proposed. A simulation example shows how to use this method in the reliability test analysis.\;