An on-board detection framework for polygon wear of railway wheel based on vibration acceleration of axle-box

Sun, Q, Chen, C, Kemp, AH et al. (1 more author) (2021) An on-board detection framework for polygon wear of railway wheel based on vibration acceleration of axle-box. Mechanical Systems and Signal Processing, 153. 107540. ISSN 0888-3270

Abstract

Metadata

Authors/Creators:
  • Sun, Q
  • Chen, C
  • Kemp, AH
  • Brooks, P
Copyright, Publisher and Additional Information: © 2020, Elsevier Ltd. All rights reserved. This is an author produced version of an article published in Mechanical Systems and Signal Processing. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Railway wheel polygonization; Rotating machine fault diagnosis; Angle domain synchronous averaging technique ; Axle-box vibration acceleration
Dates:
  • Published: 15 May 2021
  • Accepted: 6 December 2020
  • Published (online): 19 December 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 22 Jan 2021 16:51
Last Modified: 29 Mar 2021 08:17
Status: Published
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.ymssp.2020.107540

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Embargoed until: 19 December 2021

Filename: 4.Manuscript -clean version.pdf

Licence: CC-BY-NC-ND 4.0

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