Comparison of FDD and SSI modal identification methods from ambient vibration data case study
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.
Source:
Zbornik radova / Peti Internacionalni naučno-stručni skup Građevinarstvo nauka i praksa, 2014Publisher:
- Univerzitet Crne Gore, Građevinski fakultet, Podgorica
Collections
Institution/Community
GraFarTY - CONF AU - Al-Wazni, Saad AU - Mišković, Zoran AU - Alalikhan, Ahmed AU - Salatić, Ratko PY - 2014 UR - https://grafar.grf.bg.ac.rs/handle/123456789/1167 AB - 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. PB - Univerzitet Crne Gore, Građevinski fakultet, Podgorica C3 - Zbornik radova / Peti Internacionalni naučno-stručni skup Građevinarstvo nauka i praksa T1 - Comparison of FDD and SSI modal identification methods from ambient vibration data case study UR - https://hdl.handle.net/21.15107/rcub_grafar_1167 ER -
@conference{ author = "Al-Wazni, Saad and Mišković, Zoran and Alalikhan, Ahmed and Salatić, Ratko", year = "2014", 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.", publisher = "Univerzitet Crne Gore, Građevinski fakultet, Podgorica", journal = "Zbornik radova / Peti Internacionalni naučno-stručni skup Građevinarstvo nauka i praksa", title = "Comparison of FDD and SSI modal identification methods from ambient vibration data case study", url = "https://hdl.handle.net/21.15107/rcub_grafar_1167" }
Al-Wazni, S., Mišković, Z., Alalikhan, A.,& Salatić, R.. (2014). Comparison of FDD and SSI modal identification methods from ambient vibration data case study. in Zbornik radova / Peti Internacionalni naučno-stručni skup Građevinarstvo nauka i praksa Univerzitet Crne Gore, Građevinski fakultet, Podgorica.. https://hdl.handle.net/21.15107/rcub_grafar_1167
Al-Wazni S, Mišković Z, Alalikhan A, Salatić R. Comparison of FDD and SSI modal identification methods from ambient vibration data case study. in Zbornik radova / Peti Internacionalni naučno-stručni skup Građevinarstvo nauka i praksa. 2014;. https://hdl.handle.net/21.15107/rcub_grafar_1167 .
Al-Wazni, Saad, Mišković, Zoran, Alalikhan, Ahmed, Salatić, Ratko, "Comparison of FDD and SSI modal identification methods from ambient vibration data case study" in Zbornik radova / Peti Internacionalni naučno-stručni skup Građevinarstvo nauka i praksa (2014), https://hdl.handle.net/21.15107/rcub_grafar_1167 .