A scalable data-driven approach to temperature baseline reconstruction for guided wave structural health monitoring of anisotropic carbon-fibre-reinforced polymer structures
- Submitting institution
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Imperial College of Science, Technology and Medicine
- Unit of assessment
- 12 - Engineering
- Output identifier
- 4616
- Type
- D - Journal article
- DOI
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10.1177/1475921719887109
- Title of journal
- Structural Health Monitoring: an international journal
- Article number
- ARTN 1475921719887109
- First page
- 1487
- Volume
- 19
- Issue
- 5
- ISSN
- 1475-9217
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Our physically-based baseline reconstruction technique compensates the temperature effect in Guided Wave Structural Health Monitoring (GWSHM) for composite structures. This alleviates the need to collect a large temperature range to serve as a library of signals, making GWSHM possible for large-scale composite airframes. This approach was applied to a large-scale fuselage panel demonstrator for regional aircraft in the €9.6M Cleansky II project, SHERLOC (http://sherloc-project.com/). Invited keynote followed at XXV Congress of Aeronautics and Astronautics (AAIDA 2019).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
