云南农业大学学报(自然科学)
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云南农业大学学报(自然科学) 2008, Vol. 23 Issue (5) :698-700    DOI:
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模糊聚类分析在机械故障诊断中应用评述
孙永
云南农业大学工程技术学院,云南 昆明 650201
A Review of Fuzzy Cluster Analysis and its Application to Mechanical Fault Diagn
SUN Yong
Faculty of Engineering and Technology, Yunnan Agricultural University, Kunming 650201, China

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摘要 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
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孙永
关键词模糊聚类分析   机械故障   诊断   评述     
AbstractAn 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.
Keywordsfuzzy cluster analysis   mechanical fault   diagnosis   review     
Received 2007-06-28;
引用本文:   
孙永.模糊聚类分析在机械故障诊断中应用评述[J]  云南农业大学学报(自然科学), 2008,V23(5): 698-700
SUN Yong.A Review of Fuzzy Cluster Analysis and its Application to Mechanical Fault Diagn[J]  Journal of Yunnan Agricultural University, 2008,V23(5): 698-700
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