Method of turnout fault diagnosis based on grey correlation analysis

被引：0

作者：

Zhao, Lin-Hai ^{[1
]}

Lu, Qiao ^{[1
]}

机构：

[1] School of Electronics and Information Engineering, Beijing Jiaotong University

来源：

Tiedao Xuebao/Journal of the China Railway Society | 2014年 / 36卷 / 02期

关键词：

Fault diagnosis; Fisher criterion; Grey correlation analysis; Switch machine; Turnout;

D O I：

10.3969/j.issn.1001-8360.2014.02.011

中图分类号：

学科分类号：

摘要：

On the basis of the changing rule of the power curve corresponding to the typical faults of the switch machine, the turnout fault diagnosis method was proposed by grey correlation analysis. Using the Fisher criterion to select feature vectort of the corresponding failure mode, optimizing the distinguishing coefficients and calculating the gray relational degrees of the features between the test sample and each failure mode, the diagnosis result of the test sample was obtained according to the failure mode with the maximum gray relational degree meeting the threshold requirements. Experiment results show that the method can achieve fault diagnosis without the need of sample training and also has good adaptability and high accuracy.

引用

页码：69 / 74

页数：5

共 12 条

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