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

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

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...

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Bibliographic Details
Main Authors: Yang, Yanping, Zhu, Zuo, Au, Siu-Kui
Other Authors: School of Civil and Environmental Engineering
Format: Journal 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

Internet

https://hdl.handle.net/10356/161342

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