Research on Model Construction and Prediction of Brake Disc Temperature of EMU Based on Gated Recurrent Unit
This paper proposes a model for predicting the temperature of EMU brake disc based on neural network.In this model,the time series characteristics of parameters obtained by gating cycle unit are used to predict the temperature of brake disc during emergency braking of high-speed EMU.The model training is carried out by the measured data of an EMU braking test and predict the temperature changes of the brake disc under different initial speed braking conditions.The results were compared with those of other three artificial intelligence prediction methods,demonstrating the superiority of the proposed method,and provides a new idea for brake disc temperature prediction.
万方数据
维普
