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Wang, T. orcid.org/0000-0002-1271-2641, Wagg, D.J., Worden, K. orcid.org/0000-0002-1035-238X et al. (1 more author) (2021) On sensor optimisation for structural health monitoring robust to environmental variations. Wind Energy Science Discussions, 6 (5). pp. 1107-1116.
Abstract
Structural health monitoring (SHM) is often approached from a statistical pattern recognition or machine learning perspective with the aim of inferring the health state of a structure using data derived from a network of sensors placed upon it. In this paper, two SHM sensor placement optimisation (SPO) strategies that offer robustness to environmental effects are developed and evaluated. The two strategies both involve constructing an objective function (OF) based upon an established damage classification technique and an optimisation of sensor locations using a genetic algorithm (GA). The key difference between the two strategies explored here is in whether any sources of benign variation are deemed to be observable or not. The relative performances of both strategies are demonstrated using experimental data gathered from a glider wing tested in an environmental chamber, with the structure tested in different health states across a series of controlled temperatures.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The Author(s). This work is distributed under the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | sensor placement optimisation; structural health monitoring; environmental and operational effects |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/R004900/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 28 Jul 2022 08:08 |
Last Modified: | 31 Jul 2022 20:23 |
Published Version: | https://wes.copernicus.org/articles/6/1107/2021/we... |
Status: | Published |
Publisher: | Copernicus Publications |
Refereed: | Yes |
Identification Number: | 10.5194/wes-2021-53 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:189364 |
Available Versions of this Item
- On sensor optimisation for structural health monitoring robust to environmental variations. (deposited 28 Jul 2022 08:08) [Currently Displayed]