Motor Shell Temperature Prediction Based on ARIMA

Temperature is an important parameter representing the motor operating conditions. Temperature monitoring data are time series data, which have strong correlations in time. From the perspective of mathematical statistics, these correlations of time series were analyzed using EViews6.0 software in this paper. Through the establishment of ARIMA model, the motor shell temperature time series was predicted.The final prediction model is ARIMA(1,1,2). Simulation shows that ARIMA model has high predict precision and can be used to predict the temperature of motor shell, which can help to detect equipment failures, avoiding the losses caused by motor faults.