基于模糊聚类分析算法的消防电源故障诊断  

Fault diagnosis of fire power based on fuzzy clustering analysis algorithm

作　　者：刘克平[1] 薛丹 孙喜庆 赵彬[1] 李岩[1] LIU Keping;XUE Dan;SUN Xiqing;ZHAO Bin;LI Yan(School of Electrical ＆ Electronic Engineering,Changchun University of Technology,Changchun 130012,China;School of Electronic Engineering,College of Optical and Electronical Information Changchun University of Science and Technology,Changchun 130114,China)

机构地区：[1]长春工业大学电气与电子工程学院,吉林长春130012 [2]长春理工大学光电信息学院电子工程学院,吉林长春130114

出　　处：《长春工业大学学报》2018年第3期267-270,共4页Journal of Changchun University of Technology

基　　金：吉林省科技发展计划项目(20140204026GX)

摘　　要：针对消防电源故障特征的模糊性及故障原因之间的耦合性,以模糊理论为基础,采用模糊传递闭包方法,提出了一种基于模糊聚类分析的消防电源故障诊断方法。以6kW消防电源为例,对电池巡检仪取得的样本值进行聚类分析,给出了故障诊断的具体实现方法。实验结果表明,聚类效果良好、故障诊断准确,验证了所提算法的可行性与有效性。A fire power fault diagnosis based on the hybrid fuzzy clustering method which is developed by fuzzy transitive closure method in the view of fuzzy theory is proposed for the fuzziness of fire power fault characteristics and the coupling among the causes.A case study of 6 kW fire power,the sample values of the battery logging instrument is proposed with clustering analysis whereas a specific method of fault diagnosis is obtained.The results showed the feasibility and effectiveness of proposed method and the correction of the diagnosis with the obviousness of clustering.

关 键 词：消防电源 模糊传递闭包 聚类分析 故障诊断 

分 类 号：TP303.3[自动化与计算机技术—计算机系统结构]