Signal Based Indirect Wheel Profile Estimation Technique for Solid Axle Railway Wheelset

  • Khurram Shaikh Institute of Information and Communication Technologies, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan.
  • Imtiaz Hussain Kalwer Department of Electrical Engineering, DHA Suffa University, Karachi, Pakistan.
  • Khakoo Mal Institute of Information and Communication Technologies, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan.
  • Bhawani Shanker Chowdhry Institute of Information and Communication Technologies, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan.

Abstract

Wheel profile is a very important factor that helps the steering performance of the railway vehicle. However, during the operation, the wheel profile tends to vary inconsistently due to frictional contact at wheel-rail interface. This paper focuses on the problem of railway wheelset profile and its alteration that affects the performance of railway vehicle. Signal-based indirect estimation technique using Fast Fourier Transform (FFT) is proposed to establish a relationship between dynamic response of vehicle and wheel profile. It is observed that changes in wheel profile has direct impact on the frequency of lateral dynamics. The effect of vehicle speed is also analyzed on the yaw and lateral motions of the wheelset. The effectiveness of the proposed technique in determining the relationship between the frequency of the oscillation and conicity level of the solid axle railway wheelset is demonstrated by developing simulation model in MATLAB and Simulink.

Published
Apr 1, 2021
How to Cite
SHAIKH, Khurram et al. Signal Based Indirect Wheel Profile Estimation Technique for Solid Axle Railway Wheelset. Mehran University Research Journal of Engineering and Technology, [S.l.], v. 40, n. 2, p. 443 - 449,, apr. 2021. ISSN 2413-7219. Available at: <https://publications.muet.edu.pk/index.php/muetrj/article/view/2101>. Date accessed: 18 sep. 2021. doi: http://dx.doi.org/10.22581/muet1982.2102.18.
Section
Articles
This is an open Access Article published by Mehran University of Engineering and Technolgy, Jamshoro under CCBY 4.0 International License