Bayesian dynamic programming approach for tracking time-varying model properties in SHM

• Main Authors: Yang, Yanping, Zhu, Zuo, Au, Siu-Kui
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Civil engineering; Anomaly Detection; Change Point; Dynamic Programming; BAYOMA; Model Selection; SHM
• Online Access: https://hdl.handle.net/10356/161342
• Institution: Nanyang Technological University

Structural health monitoring (SHM) quite often involves continually tracking the temporal variation of some properties of interest, where statistical information about variations under normal situation can be obtained and potential anomalies may be detected for further attention. Structural-related...