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Structural Health Monitoring with dependence on non-harmonic periodic hidden covariates.
- Source :
-
Engineering Structures . Jul2018, Vol. 166, p187-194. 8p. - Publication Year :
- 2018
-
Abstract
- In Structural Health Monitoring, non-harmonic periodic hidden covariate typically arises when an observed structural response depends on unobserved external effects such as temperature or loading. This paper addresses this challenge by proposing a new extension to Bayesian Dynamic Linear Models (BDLMs) for handling situations where non-harmonic periodic hidden covariates may influence the observed responses of structures. The potential of the new approach is illustrated on the data recorded on a dam in Canada. A model employing the proposed approach is compared to another that only uses a superposition of harmonic hidden components available from the existing BDLMs. The comparative study shows that the proposed approach succeeds in estimating hidden covariates and has a better predictive performance than the existing method using a superposition of harmonic hidden components. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01410296
- Volume :
- 166
- Database :
- Academic Search Index
- Journal :
- Engineering Structures
- Publication Type :
- Academic Journal
- Accession number :
- 129095973
- Full Text :
- https://doi.org/10.1016/j.engstruct.2018.03.080