Sensor Fault Diagnosis Method Based on Support Vector Regression

摘要：

　　This article design a sensor fault diagnosis system base on Support Vector Regression.SVR is trained out of line,and used online.After being trained,SVR is used to simulate dynamic characteristic of diesel engine temperature-controlling system.The simulation result shows that,SVR can simulate the system more accurately,track the output signal of sensor,and diagnose the sensor system.

关键词： Support Vector Regression Sensor Fault Diagnosis system

作者: Shen Xianhao

作者单位: School of Information Science and Engineering,Guiling University of Technology Guiling 54100, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 473-475

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）