Performance monitoring of a wind turbine using extreme function theory

Papatheou, E., Dervilis, N., Maguire, A.E. et al. (3 more authors) (2017) Performance monitoring of a wind turbine using extreme function theory. Renewable Energy, 113. pp. 1490-1502. ISSN 0960-1481

Abstract

Metadata

Authors/Creators:
  • Papatheou, E.
  • Dervilis, N.
  • Maguire, A.E.
  • Campos, C.
  • Antoniadou, I.
  • Worden, K.
Copyright, Publisher and Additional Information: © 2017 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: Extreme values; extreme functions; wind turbines; power curve monitoring; false-positive rate
Dates:
  • Published: December 2017
  • Published (online): 5 July 2017
  • Accepted: 3 July 2017
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/K003836/2
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/K003836/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/J016942/1
Depositing User: Symplectic Sheffield
Date Deposited: 05 Jul 2017 15:18
Last Modified: 31 Oct 2018 14:48
Published Version: https://doi.org/10.1016/j.renene.2017.07.013
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.renene.2017.07.013

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