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机械故障自动特征向量提取与智能识别系统
引用本文:冯辅周,丁汉哲,梅国建.机械故障自动特征向量提取与智能识别系统[J].装甲兵工程学院学报,1997(2).
作者姓名:冯辅周  丁汉哲  梅国建
作者单位:装甲兵工程学院管理运用教研室!北京100072
摘    要:有效特征向量的提取和状态识别是设备状态监测与故障诊断中的关键技术.近年来,国内外非常重视特征参量有效性的研究和模式识别方法的探讨.笔者介绍了“机械故障自动特征向量提取与智能识别系统”的设计、结构与功能、实现方法及其应用.

关 键 词:状态监测  故障诊断  特征参量

The System of Feature Vector's Automatic Extraction and Intelligence Recognition in Mechnical Diagnosis
Feng Fuzhou Ding Hanzhe Mei Guojian.The System of Feature Vector's Automatic Extraction and Intelligence Recognition in Mechnical Diagnosis[J].Journal of Armored Force Engineering Institute,1997(2).
Authors:Feng Fuzhou Ding Hanzhe Mei Guojian
Institution:Feng Fuzhou Ding Hanzhe Mei Guojian
Abstract:The extraction of effective feature vector and pattern recognition is the key technique in the process of mechanical condition monitoring and diagnosis. Therefore, in recent years, people pay more attention to the research of feature vector's effectiveness and the discussion of methods about pattern recognition. This paper introduces an automatical system on feature vector extraction and pattern recognition, including the principle of design, structure and functions, the methods of how-to accomplish this system and its application.
Keywords:Condition monitoring  diagnosis  feature vector  
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