模糊免疫网络聚类分析及其在风机故障诊断中的应用  

Fuzzy Immune Net Clustering Analysis and Its Application in Ventilator Malfunction Diagnosis

作　　者：易建钢[1] 曾鹏[2] 

机构地区：[1]武汉科技大学机械自动化学院,湖北武汉430081 [2]江汉大学数学与计算机学院

出　　处：《矿山机械》2007年第10期112-115,共4页Mining & Processing Equipment

摘　　要：为解决传统故障诊断需要先验信息干预的问题,提出了一种基于模糊免疫网络聚类分析的故障诊断方法。同其它聚类算法相比,该算法能克服动态确定聚类数和分类边界模糊问题,是一种较好的无监督算法,并通过实例验证了该算法在风机故障诊断中的有效性。A kind of intelligent malfunction diagnosis approach based on fuzzy immune net clustering analysis was proposed in this paper to solve the problem that the prior information was needed in traditional malfunc-tion diagnosis. Compared with the other algorithms,this approach could overcome the problems of dynamic determination of classes and fuzzy border,was a better intelligent information processing al-gorithm without supervision. Finally,an application was proposed to prove the validity of the algorithm.

关 键 词：模糊免疫网络 聚类分析 故障诊断 

分 类 号：TD441[矿业工程—矿山机电]