Comparison of FDD and SSI modal identification methods from ambient vibration data case study

dc.creator	Al-Wazni, Saad
dc.creator	Mišković, Zoran
dc.creator	Alalikhan, Ahmed
dc.creator	Salatić, Ratko
dc.date.accessioned	2019-04-30T13:20:54Z
dc.date.available	2019-04-30T13:20:54Z
dc.date.issued	2014
dc.identifier.isbn	978-86-82707-23-3
dc.identifier.uri	https://grafar.grf.bg.ac.rs/handle/123456789/1167
dc.description.abstract	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.	en
dc.publisher	Univerzitet Crne Gore, Građevinski fakultet, Podgorica
dc.rights	openAccess
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	Zbornik radova / Peti Internacionalni naučno-stručni skup Građevinarstvo nauka i praksa	en
dc.title	Comparison of FDD and SSI modal identification methods from ambient vibration data case study	en
dc.type	conferenceObject
dc.rights.license	BY-NC-ND
dc.identifier.rcub	https://hdl.handle.net/21.15107/rcub_grafar_1167
dc.type.version	publishedVersion

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