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Research on Fusion Method of Prior Information in Maintainability Test

机译:可维护性测试中先验信息融合方法的研究

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In order to solve the problem of low precision of prior information fusion caused by different data population in maintainability test, the conversion model of prior information was proposed based on the availability of information, the problem of unable to fuse the information because of different data population was solved. The parameters of prior distribution were fitted by random weighting method, prior distribution was described exactly. Weight determination method based on the degree of support was proposed, and the reasonability of weighting fusion was improved. Finally, the engineering application value of the fusion method proposed by this thesis was proved by the information fusion instance of a certain equipment in maintainability test.
机译:为了解决可维护性测试中由于不同数据量造成的先验信息融合精度低的问题,提出了一种基于信息可用性的先验信息转换模型,即由于数据量不同而导致信息无法融合的问题。解决了。通过随机加权法拟合先验分布的参数,准确描述先验分布。提出了一种基于支持度的权重确定方法,提高了加权融合的合理性。最后,通过某设备在维修性测试中的信息融合实例,证明了本文提出的融合方法的工程应用价值。

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