Detection of sub-surface damage in wind turbine bearings using acoustic emissions and probabilistic modelling

Fuentes, R., Dwyer-Joyce, R.S. orcid.org/0000-0001-8481-2708, Marshall, M.B. orcid.org/0000-0003-3038-4626 et al. (2 more authors) (2020) Detection of sub-surface damage in wind turbine bearings using acoustic emissions and probabilistic modelling. Renewable Energy, 147 (1). pp. 776-797. ISSN 0960-1481

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 Elsevier Ltd. This is an author produced version of a paper subsequently published in Renewable Energy. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Acoustic Emission; Condition monitoring; Bearings; Damage detection; Probabilistic modelling; Wind turbines
Dates:
  • Accepted: 4 August 2019
  • Published (online): 27 August 2019
  • Published: 1 March 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/N016483/1
RICARDO UK LIMITED4500044536
Engineering and Physical Sciences Research CouncilEP/N018427/1
Depositing User: Symplectic Sheffield
Date Deposited: 27 Nov 2019 14:35
Last Modified: 27 Nov 2019 14:35
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.renene.2019.08.019

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