Title :
The Forecasting Method about the Rate of Wheel Load Reduction Based on NARX Neural Network
Author :
Chen, Bo ; Pang, Xuemiao ; Cheng, Xiaoqin ; Xing, Zongyi ; Qin, Yong
Author_Institution :
State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
Abstract :
The rate of wheel load reduction used for assessment the safety degree of wheels due to wheel load reduction caused by the heavy and suspended the derailment, Which is one of the important indexes about the Vehicle running safety assessment. The paper presents a forecasting method about the rate of wheel load reduction based on NARX neural network, Which use NARX neural network to realize accurate modeling of rail irregularities to the rate of wheel load reduction. The experimental results show that NARX neural network can realize the accurate prediction of the rate of wheel load reduction, and show the effectiveness of the proposed method.
Keywords :
mechanical engineering computing; neural nets; railway engineering; safety; wheels; NARX neural network; forecasting method; high-speed railway; rail irregularity modeling; vehicle running safety assessment; wheel load reduction rate; wheel safety degree; Load modeling; Neural networks; Rail transportation; Rails; Safety; Training; Wheels;
Conference_Titel :
Engineering and Technology (S-CET), 2012 Spring Congress on
Conference_Location :
Xian
Print_ISBN :
978-1-4577-1965-3
DOI :
10.1109/SCET.2012.6342121