SCADA-data-based wind turbine fault detection : a dynamic model sensor method

Zhang, S. orcid.org/0000-0002-7905-927X and Lang, Z.-Q. (2020) SCADA-data-based wind turbine fault detection : a dynamic model sensor method. Control Engineering Practice, 102. 104546. ISSN 0967-0661

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 Elsevier. This is an author produced version of a paper subsequently published in Control Engineering Practice. 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: SCADA systems; Fault detection; Frequency response; NOFRFs; Nonlinear systems; Wind energy
Dates:
  • Accepted: 30 June 2020
  • Published (online): 7 July 2020
  • Published: September 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
European Commission Seventh Framework Programme322430
Depositing User: Symplectic Sheffield
Date Deposited: 09 Jul 2020 06:20
Last Modified: 14 Jul 2020 07:50
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.conengprac.2020.104546

Download

Accepted Version


Embargoed until: 7 July 2021

Filename: SCADA-data-based wind turbine fault detection.pdf

Licence: CC-BY-NC-ND 4.0

Request a copy

file not available

Share / Export

Statistics