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主成分分析法在机车柴油机故障诊断中的应用
引用本文:王俊国,赵金,谢庆国,万淑芸.主成分分析法在机车柴油机故障诊断中的应用[J].华中科技大学学报(自然科学版),2001,29(7):61-62,65.
作者姓名:王俊国  赵金  谢庆国  万淑芸
作者单位:华中科技大学控制科学与工程系
摘    要:运用主成分分析方法,经过矩阵变换、降低维数以提取故障信息的主要特征,实现对机车柴油机燃烧性能故障的诊断分析;通过实例说明,在有用信息量损失较小的前提下,该方法可以提炼故障信息而不影响分析结果,是解决多变量高维复杂系统简便有效的一种统计识别方法。

关 键 词:机车柴油机  故障诊断  主成分分析  燃烧性能  矩阵变换  最小均方误差
文章编号:1000-8616(2001)07-0061-02

Application of Principle Component Analysis for Fault Diagnosis of Locomotive Disel Engine
Wang Junguo Zhao Jin Xie Qingguo Wan Shuyun Doctoral Candidate., Dept. of Control Sci. & Eng.,HUST,Wuhan ,China..Application of Principle Component Analysis for Fault Diagnosis of Locomotive Disel Engine[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2001,29(7):61-62,65.
Authors:Wang Junguo Zhao Jin Xie Qingguo Wan Shuyun Doctoral Candidate  Dept of Control Sci & Eng  HUST  Wuhan  China
Institution:Wang Junguo Zhao Jin Xie Qingguo Wan Shuyun Doctoral Candidate., Dept. of Control Sci. & Eng.,HUST,Wuhan 430074,China.
Abstract:The main characteristic of fault messages by reducing its dimensions through matrix conversion in the principal component analysis, and the fault of combustion function of locomotive disel engine is analyzed. Illustrated by an example, the paper proposes an approach which can concentrate fault information without influencing analytical results under the condition that the loss of useful messages is relatively small. It can also be a simple and effective statistical recognition method to solve multi-variable and multi-dimensional complicated system.
Keywords:locomotive disel engine  fault diagnosis  principal component analysis  combustion function  
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