Fault Diagnosis of Electro-hydraulic Position Servo Closed-loop System Based on Support Vector Regression

摘要：

A fault diagnosis method is proposed for electrohydraulic position closed-loop system based on support vector regression (SVR), a new class of kernelbased techniques introduced within statistical learning theory and structural risk minimization. This new fault diagnosis approach leads to solving convex optimization problems and also the model complexity follows from this solution. By using the measurable parameters, the total fault diagnosis model and the partial fault diagnosis model of SVR for electro-hydraulic position closed-loop system are established. The simulation results show that this method can effectively detect the fault of electro-hydraulic position closedloop system.

关键词： Support vector regression Electro-hydraulic position servo system Closed-loop control system Fault diagnosis

作者: Keqiang Cao Jianbang Zhang Liangmou Hu

作者单位: Department of Aircraft and Engine Engineering University of Air Force Engineering Xian, Shanxi Province, China

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）