A regime-switching cointegration approach for removing environmental and operational variations in structural health monitoring

Shi, H., Worden, K. orcid.org/0000-0002-1035-238X and Cross, E.J. (2018) A regime-switching cointegration approach for removing environmental and operational variations in structural health monitoring. Mechanical Systems and Signal Processing, 103. pp. 381-397. ISSN 0888-3270

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2017 Elsevier. This is an author produced version of a paper subsequently published in Mechanical Systems and Signal Processing. 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: Structural health monitoring; Environmental and operational variation; Cointegration
Dates:
  • Accepted: 7 October 2017
  • Published (online): 3 November 2017
  • Published: 15 March 2018
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/J016942/1
Depositing User: Symplectic Sheffield
Date Deposited: 02 Feb 2018 10:19
Last Modified: 03 Apr 2019 11:06
Published Version: https://doi.org/10.1016/j.ymssp.2017.10.013
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.ymssp.2017.10.013
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