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
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

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