Hydraulic Servo System Fault Diagnosis Based on SVM

被引:0
|
作者
Li Tieying [1 ]
Luan Jiahui [1 ]
Shan Tianmin [1 ]
机构
[1] BUAA, Sch Reliabil & Syst Engn, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
fault diagnosis; SVM; Hydraulic servo system; support vector observer; support vector classifier;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Hydraulic servo system plays an important role in aircraft power supply system. It is of great significance to study the fault diagnosis method for aircraft health management. This paper introduces a Support Vector Machine (SVM) approach to build an observer on Hydraulic servo system and obtain the fault diagnosis results by identifying of the residuals. A support vector observer estimates the output of the system. By comparing with system output, the residual is generated and then clustered by a support vector classifier for fault detection. Finally we use MATLAB/Simulink to establish fault diagnosis model and verify the correctness of this method.
引用
收藏
页码:151 / 155
页数:5
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