Fault Prediction for Capacitor Motor of Weather Radar Radiating Fan Based on SVM

摘要

The failure of Weather Radar lead to aircraft return midway and bring huge loss to airline and airport as well as affect flight itinerary. The failure of capacitor motor which is the power plant of AMETEK aviation radiating fan in weather radar affect the operation efficiency of weather radar. So it is very important to rapid and valid forecast failure of the capacitor motor. The paper builds Support Vector Regression model and Support Vector Classification model by the history data of voltage and current. The data are simulated by mat lab to achieve motor failure status. The result shows that the SVM prediction model is reliability for failure prediction and diagnosis.