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故障类别的模糊聚类分析
引用本文:徐章遂,马爱文,左宪章.故障类别的模糊聚类分析[J].军械工程学院学报,1994(3).
作者姓名:徐章遂  马爱文  左宪章
作者单位:电子技术教研室 (徐章遂,马爱文),电子技术教研室(左宪章)
摘    要:本文通过故障状态-特征的模糊聚类分析,按故障间的相似性对故障进行分类,然后按类别实施故障诊断,可在最少监测点的条件下,获得最多的设备运行故障信息。从而简化故障诊断过程,提高诊断速度和精度。

关 键 词:故障诊断  模糊聚类  F统计量  ISODATA算法  最大故障信息量

THE FUZZY CLASSIFICATION OF THE FAULTS' CATEGORIES
Xu Zhangsui Ma Aiwen Zuo Xianzhang.THE FUZZY CLASSIFICATION OF THE FAULTS' CATEGORIES[J].Journal of Ordnance Engineering College,1994(3).
Authors:Xu Zhangsui Ma Aiwen Zuo Xianzhang
Institution:Teaching and Research Section of Electronical Technology
Abstract:The paper adopts the method of fuzzy classification to analyse the faults' states and characteristics. In short, the faults are classified according to their similarity, then diagnosed by these categories. By this means, we can gain much more faults' information of apparatus pro-ceeding basing on fewer monitor points, and simplify the process of faults' diagnosis and in-crease the speed and precision of it.
Keywords:diagnosis of the faults  fuzzy dassification  F statistics  ISODATA algorithm  maximum faults' information    
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