一种基于D-S证据理论的Bayes可靠性评定方法

赵仿泽

doi:10.11993/j.issn.1673-1948.2013.03.004

一种基于D-S证据理论的Bayes可靠性评定方法

doi: 10.11993/j.issn.1673-1948.2013.03.004

赵仿泽

西北工业大学航海学院, 陕西西安, 710072

详细信息

作者简介:
赵仿泽(1964-), 男, 在读博士, 主要研究领域为系统工程理论与方法.

中图分类号: Bayesian method is an important and suitable appr
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- 被引次数: 0
出版历程
- 收稿日期: 2013-01-29
- 修回日期: 2013-03-27
- 刊出日期: 2013-06-20

A Bayesian Reliability Evaluation Method Based on Dempster-Shafer Evidence Theory

ZHAO Fang-ze

College of Marine Engineering, Northwestern Polytechnical University, Xi′an 710072, China

摘要

摘要: 如何合理利用多源先验信息, 是小子样Bayes理论方法应用中亟待解决的一个问题。目前, 多源信息融合还没有统一的准则, 融合理论方法的不同会使得融合结果有所差异。为了解决上述问题, 基于证据推理理论, 提出了一种多源信息先验分布融合方法, 将通过各种融合准则获得的先验分布进行再融合, 得到了一种合理的综合先验分布, 最后建立了基于证据理论的Bayes可靠性评定模型。仿真结果表明, 该融合方法是合理可行的, 相比使用单一信息融合方法更科学且合理。
- Bayes理论 /
- 多源信息 /
- D-S证据推理 /
- 信息融合 /
- 可靠性评定
Abstract: Bayesian method is an important and suitable approach for system reliability evaluation in small sample cir-cumstance. In order to reduce the testing data, all kinds of a priori information must be used, so the information fusion of multiple sources becomes a key problem in Bayesian analysis. A new method based on the Dempster-Shafer evidence theory is proposed to realize the information fusion of multiple sources, which can integrate more a priori distributions obtained through different fusion criteria. Simulation shows that the proposed method is effective.
- Bayesian theory /
- information of multiple sources /
- Dempster-Shafer evidence theory /
- information fusion /
- reliability evaluation

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参考文献(9)

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