Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/11797
Title: Probabilistic investigation of error propagation in frequency domain decomposition-based operational modal analysis
Authors: Hızal, Çağlayan
Aktaş, Engin
Keywords: Frequency domain identification
Measurement noise
Modeling errors
OMA
Statistical errors
Issue Date: 2021
Publisher: John Wiley and Sons Inc.
Abstract: Each operational modal analysis (OMA) technique may produce significant errors during the identification procedure due to the applied methodology, environmental/operational conditions, and instrumentation. Consequently, those errors can adversely affect the quality of identified parameters. In this context, this study aims at providing a comprehensive discussion on the propagation of predictions errors in the frequency domain OMA. To mitigate the prediction errors those considered to be induced by modeling and measurement errors, an extended formulation is presented based on a recently developed Modified Frequency and Spatial Domain Decomposition technique. A comprehensive investigation is presented for the probabilistic modeling of output power spectral density (PSD), considering prediction errors. Numerical and real data applications are conducted to show the effectiveness of the proposed methodology.
URI: https://doi.org/10.1002/stc.2759
https://hdl.handle.net/11147/11797
ISSN: 1545-2255
1545-2263
Appears in Collections:Civil Engineering / İnşaat Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File SizeFormat 
Structural Contr.pdf4.41 MBAdobe PDFView/Open
Show full item record



CORE Recommender

SCOPUSTM   
Citations

9
checked on Feb 16, 2024

WEB OF SCIENCETM
Citations

7
checked on Feb 10, 2024

Page view(s)

17,680
checked on Feb 19, 2024

Download(s)

206
checked on Feb 19, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.