MODAL IDENTIFICATION AND DAMAGE DETECTION USING THE DATA-DRIVEN STOCHASTIC SUBSPACE AND ARMAV METHODS

Author:

BODEUX J.-B.,GOLINVAL J.-C.

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference9 articles.

1. System Identification—Theory for the User;LJUNG,1987

2. Application of ARMAV models to the identification and damage detection of mechanical and civil engineering structures;BODEUX;Smart Materials and Structures, Special Issue: Structural Health Monitoring,2001

3. Estimation of modal parameters and their uncertainties;ANDERSEN;Proceedings of the 17th IMAC, Kissimmee, FL, U.S.A,1999

4. Subspace Identification for Linear Systems: Theory—Implementation—Applications;VAN OVERSCHEE,1996

5. Reference-based stochastic subspace identification for output-only modal analysis;PEETERS;Mechanical Systems and Signal Processing,1999

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