Automated modal parameter estimation for operational modal analysis of large systems
P Andersen, R Brincker, M Goursat… - Proceedings of the 2nd …, 2007 - vbn.aau.dk
P Andersen, R Brincker, M Goursat, L Mevel
Proceedings of the 2nd international operational modal analysis conference, 2007•vbn.aau.dkIn this paper the problems of doing automatic modal parameter extraction and how to
account for large number of data to process are considered. Two different approaches for
obtaining the modal parameters automatically using OMA are presented: The Frequency
Domain Decomposition (FDD) technique and a correlation-driven Stochastic Subspace
Identification (SSI) technique. Special attention is given to the problem of data reduction,
where many sensors are available. Finally, the techniques are demonstrated on real data.
account for large number of data to process are considered. Two different approaches for
obtaining the modal parameters automatically using OMA are presented: The Frequency
Domain Decomposition (FDD) technique and a correlation-driven Stochastic Subspace
Identification (SSI) technique. Special attention is given to the problem of data reduction,
where many sensors are available. Finally, the techniques are demonstrated on real data.
Abstract
In this paper the problems of doing automatic modal parameter extraction and how to account for large number of data to process are considered. Two different approaches for obtaining the modal parameters automatically using OMA are presented: The Frequency Domain Decomposition (FDD) technique and a correlation-driven Stochastic Subspace Identification (SSI) technique. Special attention is given to the problem of data reduction, where many sensors are available. Finally, the techniques are demonstrated on real data.
vbn.aau.dk
以上显示的是最相近的搜索结果。 查看全部搜索结果