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基于Bayes理论的测试性数据融合评估技术
引用本文:马涛,鞠成玉. 基于Bayes理论的测试性数据融合评估技术[J]. 火力与指挥控制, 2017, 42(8). DOI: 10.3969/j.issn.1002-0640.2017.08.041
作者姓名:马涛  鞠成玉
作者单位:中国飞行试验研究院,西安,710089
摘    要:针对目前高可靠性产品测试性评估验证面临的样本量不足的问题,提出一种基于Bayes理论的内外场数据融合评估技术,并给出详细的内外场测试性数据收集方法及原则,利用某产品的试验数据对该方法进行了验证。该方法工程应用性强,可作为高可靠性产品测试性评估的依据。

关 键 词:测试性  贝叶斯理论  数据融合

A Data Fusion Method for Testability Evaluation Based on Bayes Theorem
MA Tao,JU Cheng-yu. A Data Fusion Method for Testability Evaluation Based on Bayes Theorem[J]. Fire Control & Command Control, 2017, 42(8). DOI: 10.3969/j.issn.1002-0640.2017.08.041
Authors:MA Tao  JU Cheng-yu
Abstract:Testability evaluation for high reliability item is facing Small sample problem. In this paper,a data fusion method for testability evaluation based on Bayes Theorem,including data collecting method and principle,is proposed to solve it. Finally,the applicability and validity of method is verified by an example. The result shows that the method applies to testability evaluation for high reliability items.
Keywords:testability  bayes theorem  data fusion
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