Fault diagnosis using directed graph

Yonggang Hu, Zhonglai Guo, Bing Li, Yuexing Zhang
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Abstract

In this paper, a new fault diagnosis method is proposed. First, a fault transferring directed graph(FTDG) G(V,E) is created according to the principal of the system. Second, we convert the FTDG into a fault transferring probability matrix(FTPM). Third, for any input node i with false output, its probable faulty element set corresponds to a fuzzy set V with membership of the ith column of FTPM, and if the input node has a right output, the corresponding set is the complementary set of V . Fourth, the final potential solution is the intersection of these fuzzy sets. Since most of the computation can be done ahead, this method is very fit for working online. Furthermore, the experiments show the validation of the method.
基于有向图的故障诊断
本文提出了一种新的故障诊断方法。首先,根据系统原理,建立故障传递有向图G(V,E);其次,将故障转移概率矩阵转换为故障转移概率矩阵(FTPM)。第三,对于任意输出为假的输入节点i,其可能故障元素集对应于FTPM中隶属度为第i列的模糊集V,如果输入节点有正确的输出,则对应的集合为V的互补集。第四,最终的潜在解是这些模糊集的交集。由于大多数计算可以提前完成,因此这种方法非常适合在线工作。通过实验验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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