Comparison of FDD and SSI modal identification methods from ambient vibration data case study
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The paper presents performance of two different system identification methods applied on experimental ambient vibration recorded data. The first applied method is so-called Frequency Domain Decomposition – FDD, frequency domain based peak-picking method, while the second one is Stochastic Subspace Identification - SSI method, for estimation of state space systems. Emphases are on advantages and disadvantages of both applied methods. Also, application of ARTeMIS software is presented, as a very useful tool to facilitate extracting and displaying modal parameters.
Source:Zbornik radova / Peti Internacionalni naučno-stručni skup Građevinarstvo nauka i praksa, 2014
- Univerzitet Crne Gore, Građevinski fakultet, Podgorica