Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/10377
Title: Modified frequency and spatial domain decomposition method based on maximum likelihood estimation
Authors: Hızal, Çağlayan
Keywords: Operational modal analysis
Modal identification
Measurement noise
Modelling error
Mode shape estimation
Frequency domain decomposition
Maximum likelihood estimation
Publisher: Elsevier
Abstract: In this study, a Modified Frequency and Spatial Domain Decomposition (MFSDD) technique is developed for modal parameter identification, using output-only response measurements. According to the presented procedure, the most probable power spectral density matrix of the measured response (output PSD) is updated by a maximum likelihood estimation based on the observed data. Different from the available Frequency Domain Decomposition (FDD) techniques, a prediction error term which is associated with the measurement noise and modelling errors is included in the proposed methodology. In this context, a detailed discussion is provided from various aspects for the effect of measurement noise and modelling errors on the parameter estimation quality. Two numerical and two experimental analysis are conducted in order to demonstrate the effectiveness and accuracy of the proposed methodology under some extreme effects. The obtained results indicate that the proposed method shows very good performance in modal parameter estimation in case of noisy measurements.
URI: https://doi.org/10.1016/j.engstruct.2020.111007
https://hdl.handle.net/10377
ISSN: 0141-0296
1873-7323
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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