Articles | Volume 6, issue 5
https://doi.org/10.5194/wes-6-1107-2021
https://doi.org/10.5194/wes-6-1107-2021
Research article
 | 
08 Sep 2021
Research article |  | 08 Sep 2021

On sensor optimisation for structural health monitoring robust to environmental variations

Tingna Wang, David J. Wagg, Keith Worden, and Robert J. Barthorpe

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2021-53', Anonymous Referee #1, 06 Jul 2021
    • AC1: 'Reply on RC1', Tingna Wang, 14 Jul 2021
      • RC3: 'Reply on AC1', Anonymous Referee #1, 19 Jul 2021
  • RC2: 'Comment on wes-2021-53', Anonymous Referee #2, 18 Jul 2021
    • AC2: 'Reply on RC2', Tingna Wang, 21 Jul 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Tingna Wang on behalf of the Authors (21 Jul 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (27 Jul 2021) by Amir R. Nejad
ED: Publish as is (29 Jul 2021) by Joachim Peinke (Chief editor)
AR by Tingna Wang on behalf of the Authors (01 Aug 2021)  Author's response   Manuscript 
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Short summary
This paper illustrates two sensor placement optimisation techniques designed for damage detection while taking into account temperature effects. A case study of a glider wing shows that, compared to the normalised method using the temperature label, the linear method that did not require temperature labels provided features that were less sensitive to damage. However, it is cheaper and more convenient to extract temperature-robust features in practical engineering.
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