The combination method for dependent evidence and its application for simultaneous faults diagnosis

Haina Jiang, Xiaobin Xu, Chenglin Wen
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引用次数: 2

Abstract

This paper provides a method based on Dezert-Smarandache Theory (DSmT) for simultaneous faults diagnosis when evidence is dependent. Firstly, according to the characteristics of simultaneous faults, a frame of discernment is given for both single fault and simultaneous faults diagnosis, the DSmT combination rule applicable to simultaneous faults diagnosis is introduced. Secondly, the dependence of original evidence is classified according to three main factors in information acquisition and extraction, a method for evidence decorrelation is provided. On the other hand, the weights for measuring evidence credibility are given to modify independent evidence based on Generalized Ambiguity Measure. Next, DSmT combination rule is used to aggregate the modified evidence. Finally, an example of rotor faults diagnosis is given to illustrate effectiveness of the proposed method.
依赖证据组合方法及其在故障同时诊断中的应用
提出了一种基于Dezert-Smarandache理论(DSmT)的故障诊断方法。首先,根据同步故障的特点,给出了单故障和同步故障诊断的识别框架,并引入了适用于同步故障诊断的DSmT组合规则。其次,根据信息获取和提取中的三个主要因素对原始证据的依赖性进行分类,提出了一种证据去相关的方法;另一方面,给出了衡量证据可信度的权重,以修正基于广义模糊度量的独立证据。然后,利用DSmT组合规则对修改后的证据进行聚合。最后,通过转子故障诊断实例验证了该方法的有效性。
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