Title :
Study on wheel-flat detection method based on vehicle system acceleration measurement
Author :
Xiukun Wei ; Jun Chen
Author_Institution :
State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
Abstract :
The wheel flat fault is the most common wheel damages. It causes rapid deterioration of, both, rolling and fixed railway equipment. So, it cannot be ignored and should be detected as soon as possible after it occurs. In this paper, a wheel flat detection method is presented which is based on vehicle system acceleration measurement. A simulation model with acceleration sensors is set up using SIMPACK. The Fourier Transform is applied to analysis the data obtained from the simulation model. The effectiveness of the proposed approach is demonstrated by simulation results.
Keywords :
Fourier transforms; acceleration measurement; data analysis; fault diagnosis; force sensors; mechanical engineering computing; railway engineering; signal processing; vehicle dynamics; wheels; Fourier transform; SIMPACK; acceleration sensors; data analysis; fixed railway equipment; rolling railway equipment; simulation model; vehicle system acceleration measurement; wheel damages; wheel-flat fault detection method; Acceleration; Axles; Rail transportation; Rails; Sensors; Vehicles; Wheels; FFT; accelaration measurement; wheelflat;
Conference_Titel :
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-1390-9
DOI :
10.1109/MIC.2013.6757916