模糊聚类分析在机械故障诊断中应用评述

A Review of Fuzzy Cluster Analysis and its Application to Mechanical Fault Diagnosis

模糊聚类分析的优点是在无任何专家经验的基础上,就能给出各个变量之间的关系,即用模糊的方法来处理聚类问题。对国内近几年来,基于模糊聚类分析以及其与优化算法、统计分析等方法相结合的改进的模糊聚类分析方法在机械故障诊断中的应用进行了评述和展望。

An advantage of fuzzy cluster analysis, which is a fuzzy approach to the clustering problems, is that it can find the relationship among different variables without any prior experience. The improved fuzzy cluster analysis was derived from the traditional fuzzy cluster analysis combined with other optimization algorithms and statistical analysis. In this paper, the application of the improved fuzzy cluster analysis in the different fields of the industrial production in recent years was discussed.