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Research on Fault Diagnosis for Centrifugal Compressor using Entropy-based Fuzzy Gray Relational Analysis

机译:基于熵权的模糊灰色关联分析在离心压缩机故障诊断中的研究

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A novel fault diagnosis method for centrifugal compressor was proposed by using entropybased fuzzy gray relational analysis (EF-GRA). Firstly, the minimize entropy principle (MEP) was used to subdivide all real-valued fault features and construct membership functions of fuzzy variables. Secondly, based on the gray theory, the fuzzy-gray relational coefficients (F-GRC) were calculated and the weighted fuzzy-gray relation degrees (WF-GRD) were obtained, so that the diagnostic result can be determined. Finally, a centrifugal compressor fault dataset was used to illustrate the proposed method, and the results show that it has strong engineering practicability and validity.
机译:提出了一种基于熵的模糊灰色关联分析(EF-GRA)的新型离心压缩机故障诊断方法。首先,使用最小熵原理(MEP)对所有实值故障特征进行细分,并构造模糊变量的隶属函数。其次,基于灰色理论,计算了模糊灰色关联系数(F-GRC),并获得了加权模糊灰色关联度(WF-GRD),从而可以确定诊断结果。最后,利用离心压缩机故障数据集对所提方法进行了说明,结果表明该方法具有较强的工程实用性和有效性。

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