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A Research of Fault Auto-Diagnosis for Rotating Machine Based on the Fuzzy Multiple Attribute Decision-Making

机译:基于模糊多属性决策的旋转机械故障自动诊断研究

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The Fuzzy Multiple Attribute Decision-Making Inferential Modal of fault auto-diagnosis was presented to deal with the failure of rotating machine in which the attribute value is fuzzy completely. Inferential process is as follows: By frequency analysis, the assumptive fault matrix can be get, and the attribute value can be received from computer interface. Based on above results, the decision-making matrix is built. Use entropy to decide additive weight. Take advantage of compromise model to compute the fuzzy distance between every assumptive fault matrix and the fault sample matrix. Finally, the assumptive fault matrix is ranked over again. The fault diagnosis is fulfilled automatically.
机译:提出了故障自动诊断的模糊多属性决策推理模型,以处理旋转机器的故障,其中属性值完全模糊。推理过程如下:通过频率分析,可以获得假设故障矩阵,并且可以从计算机接口接收属性值。基于上述结果,建立了决策矩阵。使用熵来决定添加剂重量。利用妥协模型来计算每个假设故障矩阵与故障样本矩阵之间的模糊距离。最后,假设的故障矩阵再次排名。故障诊断自动满足。

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