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
Publisher:
Univerzitet Crne Gore, Građevinski fakultet, Podgorica
TY - 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 .
