The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Temperature Compensation in Vibration-Based Structural Health Monitoring Using Neural Network Regression
Open accessAbstract
Vibration-based structural health monitoring (SHM) systems continuously estimate modal parameters to detect structural anomalies. The modal data corresponding to a healthy state are stored in a database during a training period, forming a baseline for comparison. However, variations in modal frequencies due to environmental and operational factors can lead to larger false positive rates and decrease the sensitivity of system to small damages, reducing the probability of damage detection. To mitigate these challenges, temperature compensation techniques are commonly employed to reduce variations in recorded modal data. In this paper, we propose a temperature compensation technique using neural network regression models. Unlike commonly used multivariate linear regression (MVLR), neural networks can capture the nonlinear relationship between temperature and modal frequencies effectively. The results of the numerical simulation in the present work demonstrate the superiority of the neural network-based compensation over the MVLR approach.
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Research works printed but not linked: 3
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Crognale, M., Rinaldi, C., Ciambella, J., & Gattulli, V. (2026) · Journal of low frequency noise, vibration and active control · doi:10.1177/14613484261421404 · Cited by 3
“22 Zhou et al. 23 investigated the use of ANNs for simulating and predicting temperature-induced modal variability, demonstrating that ANNs can effectively map temperatures to frequencies.”
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Self-citationA Virtual Baseline Method to Enhance Anomaly Detection in Progressive Damage Scenarios
Kamali, S., Palermo, A., & Marzani, A. (2025) · Lecture notes in civil engineering · doi:10.1007/978-3-031-96106-9_34
Self-citation
Metadata
- Authors
- Kamali, S., Marzani, A., Sciullo, L., Di Felice, M., Augugliaro, G., & Mennuti, C.
- Affiliations
- University of Bologna (IT)
- University of Bologna,Department of Computer Science and Engineering,Bologna,Italy
- Centro Ricerche Monte Porzio Catone (RM),Prodotti ed Insediamenti Antropici, Laboratorio tecnologie innovative per la sicurezza,Dipartimento Innovazioni Tecnologiche e Sicurezza degli Impianti,Rome,Italy
- Venue
- 2023 7th International Conference on System Reliability and Safety (ICSRS)
- Publisher
- IEEE
- Published
- 2023-11-22
- Pages
- 36-42
- OpenAlex
- W4390678314
- Semantic Scholar
- 9ef6cff5530be774475a4d63c55425d3f2dd2394
- Cited by
- 5
- References
- 14
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3
- FWCI
- 4.00
- Type
- conference paper
- Language
- en
- Open access
- green
- ieeexplore.ieee.org
- Locations
- International Conference on System Reliability and Safety (ICSRS) (publishedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
- Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
- Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Maintenance and Monitoring
- Keywords
- temperature compensation, vibration-based structural health monitoring, modal frequency estimation, neural network regression, multivariate linear regression, damage detection, false positive reduction
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