扶名福, 谢明祥, 饶 泓. 模糊聚类分析法在抽风机故障诊断中应用[J]. 工程力学, 2007, 24(增Ⅰ): 36-040.
引用本文: 扶名福, 谢明祥, 饶 泓. 模糊聚类分析法在抽风机故障诊断中应用[J]. 工程力学, 2007, 24(增Ⅰ): 36-040.
FU Ming-fu, XIE Ming-xiang, RAO Hong. APPLICATION OF FUZZY CLUSTER ANALYSIS TO THE FAULT DIAGNOSIS OF SUCTION FAN[J]. Engineering Mechanics, 2007, 24(增Ⅰ): 36-040.
Citation: FU Ming-fu, XIE Ming-xiang, RAO Hong. APPLICATION OF FUZZY CLUSTER ANALYSIS TO THE FAULT DIAGNOSIS OF SUCTION FAN[J]. Engineering Mechanics, 2007, 24(增Ⅰ): 36-040.

模糊聚类分析法在抽风机故障诊断中应用

APPLICATION OF FUZZY CLUSTER ANALYSIS TO THE FAULT DIAGNOSIS OF SUCTION FAN

  • 摘要: 介绍了模糊聚类分析的理论和方法,讨论了数据规格化的三种方案,指明极差值是数据规格化最简便的方案。并将该理论应用于抽风机故障诊断研究中,在样本中引入正常状态和故障状态时的样本数据,运用基于传递闭包的模糊等价矩阵进行聚类分析,并通过待检测数据检验其可靠性。通过实例检验表明,理论分析与现场检查结果相符,证实了模糊聚类分析对提高抽风机故障诊断能力的有效性。

     

    Abstract: Fuzzy cluster analysis theory is introduced, three methods of data standardization for cluster analysis are discussed and the extremity standardization method is recommended. This method was applied to the fault diagnosis of suction fan. The fault data and normal data were input to compose the sample data, the fuzzy equivalent matrix based on the transitive closure was imposed to the cluster analysis, and the checking data were introduced to validate this method. A practical example shows that the result calculated by fuzzy cluster analysis is in good agreement with the actual inspections, indicating that the method is available for the fault diagnosis of suction fan.

     

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