Sensors (Basel, Switzerland)
Unsupervised Learning-Based Anomaly Detection for Bridge Structural Health Monitoring: Identifying Deviations from Normal Structural Behaviour.
Jabez Nesackon Abraham, Minh Q Tran, Jerusha Samuel Jayaraj, Jose C Matos, Maria Rosa Valluzzi, Son N Dang
Published: 202610.3390/s26020561
Abstract
Structural Health Monitoring (SHM) of large-scale civil infrastructure is essential to ensure safety, minimise maintenance costs, and support informed decision-making. Unsupervised anomaly detection has emerged as a powerful tool for identifying devi…
Preview only. Read the full abstract at the source