Identification of dynamic systems using Multiple Input-Single Output (MISO) models

Basit Öğe Kaydı
dc.contributor.authorErdogan, H.
dc.contributor.authorGülal, E.
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-29T19:27:11Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-29T19:27:11Z
dc.date.issued2009
dc.departmentMühendislik Fakültesi
dc.description.abstractSystem identification is a method used to obtain the modal characteristics of existing structural systems through dynamic observations. Modal characteristics of the system can be used for a variety of purposes, including model updates, damage assessment, active control and original design re-evaluation. In this paper, the transfer functions relating the input quantities (traffic load, wind speed and temperature variations) and output quantities (lateral and longitudinal movement) of the towers of the Bosphorus Suspension Bridge were defined with the help of two models, namely, the parametric Multiple Input-Single Output (MISO) Auto-Regressive with eXogenous input (ARX) and the multiple regression models. The latter model was primarily used to check for the existence of outlier measurement(s) and to identify the input quantities that have a significant contribution to the structural movements since outlier measurements in observations and insignificant input quantities increases the difficulty of defining the parameters of the inherently complex MISO ARX model. Least Squares (LS) and bi-square weighted robust predictors were used to determine the parameters of the multiple regression model used in this study. Regression analysis showed that there were no outlier measurements in the tower observations and the effect of wind speed on the longitudinal movements was statistically insignificant. Furthermore, the sensitivity of LS and bi-square robust predictors to outlier measurements were also checked in the regression analysis by adding rough errors to the observations. Finally, it was also observed that the MISO ARX512, ARX511, ARX411 and ARX415 models defined by taking into account the results of regression analysis estimate structural movements more accurately than the multiple regression model ARX010. (C) 2008 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.nonrwa.2007.12.008
dc.identifier.endpage1196en_US
dc.identifier.issn1468-1218
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage1183en_US
dc.identifier.urihttps://doi.org/10.1016/j.nonrwa.2007.12.008
dc.identifier.urihttps://hdl.handle.net/20.500.12451/5806
dc.identifier.volume10en_US
dc.identifier.wosWOS:000262141700048
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofNonlinear Analysis: Real World Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBosphorus Bridge
dc.subjectMultiple Regression
dc.subjectRobust Methods
dc.subjectMISO ARX
dc.titleIdentification of dynamic systems using Multiple Input-Single Output (MISO) models
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
erdogan-h.-2009.pdf
Boyut:
1.29 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir

Koleksiyon

Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu