Error motion trajectory-driven diagnostics of kinematic and non-kinematic machine tool faults

Rooker, T., Stammers, J., Worden, K. et al. (3 more authors) (2022) Error motion trajectory-driven diagnostics of kinematic and non-kinematic machine tool faults. Mechanical Systems and Signal Processing, 164. 108271. ISSN 0888-3270

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Multi-axis machining; Error motion trajectory/volumetric error; Machine tool condition monitoring; Ensemble learning; Transfer learning
Dates:
  • Accepted: 22 July 2021
  • Published (online): 6 August 2021
  • Published: 1 February 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
The University of Sheffield > AMRC Group (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 11 Aug 2021 10:52
Last Modified: 11 Aug 2021 10:52
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.ymssp.2021.108271

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