SHM of bridges: characterising thermal response and detecting anomaly events using a temperature-based measurement interpretation approach
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Dependencies of system response quantities on environmental and operational conditions are inevitable for static response measurements such as strain and inclination, and for dynamic ones such as acceleration and natural frequencies.
“These dependencies are inevitable for static response measurements such as strain (Kromanis and Kripakaran, 2016;Liang et al., 2009) and inclination (Han et al., 2021;Ju et al., 2023;Lee et al., 2019), and dynamic ones (e.g., acceleration, natural frequencies).”
From Confounder-adjusted Covariances of System Outputs and Applications to Structural Health Monitoring (2024) · cites this paper as Kromanis and Kripakaran, 2016
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- Authors
- Kromanis, R., & Kripakaran, P.
- Affiliations
- Nottingham Trent University (GB)
- University of Exeter (GB)
- Corresponding author
- Kromanis, Rolands
- Venue
- Journal of Civil Structural Health Monitoring
- Published
- 2016-03-16
- Volume
- 6
- Issue
- 2
- Pages
- 237-254
- ISSN
- 2190-5452 (ISSN-L)
- 2190-5479
- OpenAlex
- W2323479272
- Cited by
- 52
- References
- 28
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 12 · 2023: 5 · 2022: 6 · 2021: 5 · 2020: 4 · 2019: 1 · 2018: 3 · 2017: 3
- FWCI
- 2.81
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Civil Structural Health Monitoring (publishedVersion)
- Open Research Exeter (University of Exeter) (acceptedVersion)
- Figshare (submittedVersion)
- Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Engineering and Materials Analysis
- Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
- Keywords
- anomaly detection, dimensionality reduction, truss structures
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