A Comparative Study of the Data-Driven Stochastic Subspace Methods for Health Monitoring of Structures: A Bridge Case Study

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...

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Bibliographic Details
Main Authors: Hoofar Shokravi, Hooman Shokravi, Norhisham Bakhary, Seyed Saeid Rahimian Koloor, Michal Petrů
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Applied Sciences
Subjects:
structural health monitoring (SHM)
subspace system identification (SSI)
principle components (PC)
unweighted principle components (UPC)
canonical variate analysis (CVA)
Online Access:https://www.mdpi.com/2076-3417/10/9/3132

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https://www.mdpi.com/2076-3417/10/9/3132

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