A comparative study of the data-driven stochastic subspace methods for health monitoring of structures: a bridge case study
Subspace system identification is a class of methods to estimate state-space model based on low rank characteristic of a system. State-space-based subspace system identification is the dominant subspace method for system identification in health monitoring of the civil structures. The weight matrice...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/87673/1/HoofarShokravi2020_AComparativeStudyoftheDataDriven.pdf |