Sensor Fault Diagnosis System Based on Support Vector Regression

A sensor fault diagnosis system based on Support Vector Regression was designed. SVR was trained out of line, and used online. After being trained, SVR was 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.