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Frequency domain decomposition method: A comparative study on signal processing for unbiased damping ratio estimates

Frequency domain decomposition (FDD) is one of OMA methods in the frequency domain and this method has become well-known among engineering community engaged in the system modal identification due to its capability as a user-friendly and fast processing algorithm. Though, this method has problems in...

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Main Authors: Danial, M., Hasan, A., Salman Leong, M., Hee, L. M., Ahmad, Z. A. B.
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/97983/1/MohdSalman2021_FrequencyDomainDecompositionMethodAComparativeStudy.pdf
http://eprints.utm.my/id/eprint/97983/
http://dx.doi.org/10.1088/1757-899X/1062/1/012003
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spelling my.utm.979832022-11-14T09:29:50Z http://eprints.utm.my/id/eprint/97983/ Frequency domain decomposition method: A comparative study on signal processing for unbiased damping ratio estimates Danial, M. Hasan, A. Salman Leong, M. Hee, L. M. Ahmad, Z. A. B. TJ Mechanical engineering and machinery Frequency domain decomposition (FDD) is one of OMA methods in the frequency domain and this method has become well-known among engineering community engaged in the system modal identification due to its capability as a user-friendly and fast processing algorithm. Though, this method has problems in offering an accurate estimation of modal damping ratios, even though natural frequencies and mode shapes can be accurately estimated. The accurate estimation of modal damping is still an open problem and often leads to biased estimates since the errors are stemming from each step in FDD procedures and primarily caused by signal processing. Therefore, the identification of modal damping ratio turns out to be immensely essential in structural dynamics since damping is one of the crucial parameters of resonance. This study is to determine the appropriate signal processing for FDD because signal processing such as the time window, correlation function (CF) and the spectral density (SD) are the main contributors to the bias estimate. The goal of this paper is to provide necessary information on modal damping for reliable estimation. 2021 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/97983/1/MohdSalman2021_FrequencyDomainDecompositionMethodAComparativeStudy.pdf Danial, M. and Hasan, A. and Salman Leong, M. and Hee, L. M. and Ahmad, Z. A. B. (2021) Frequency domain decomposition method: A comparative study on signal processing for unbiased damping ratio estimates. In: 1st International Colloquium on Computational and Experimental Mechanics, ICCEM 2020, 25 - 26 June 2020, Selangor, Malaysia. http://dx.doi.org/10.1088/1757-899X/1062/1/012003
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Danial, M.
Hasan, A.
Salman Leong, M.
Hee, L. M.
Ahmad, Z. A. B.
Frequency domain decomposition method: A comparative study on signal processing for unbiased damping ratio estimates
description Frequency domain decomposition (FDD) is one of OMA methods in the frequency domain and this method has become well-known among engineering community engaged in the system modal identification due to its capability as a user-friendly and fast processing algorithm. Though, this method has problems in offering an accurate estimation of modal damping ratios, even though natural frequencies and mode shapes can be accurately estimated. The accurate estimation of modal damping is still an open problem and often leads to biased estimates since the errors are stemming from each step in FDD procedures and primarily caused by signal processing. Therefore, the identification of modal damping ratio turns out to be immensely essential in structural dynamics since damping is one of the crucial parameters of resonance. This study is to determine the appropriate signal processing for FDD because signal processing such as the time window, correlation function (CF) and the spectral density (SD) are the main contributors to the bias estimate. The goal of this paper is to provide necessary information on modal damping for reliable estimation.
format Conference or Workshop Item
author Danial, M.
Hasan, A.
Salman Leong, M.
Hee, L. M.
Ahmad, Z. A. B.
author_facet Danial, M.
Hasan, A.
Salman Leong, M.
Hee, L. M.
Ahmad, Z. A. B.
author_sort Danial, M.
title Frequency domain decomposition method: A comparative study on signal processing for unbiased damping ratio estimates
title_short Frequency domain decomposition method: A comparative study on signal processing for unbiased damping ratio estimates
title_full Frequency domain decomposition method: A comparative study on signal processing for unbiased damping ratio estimates
title_fullStr Frequency domain decomposition method: A comparative study on signal processing for unbiased damping ratio estimates
title_full_unstemmed Frequency domain decomposition method: A comparative study on signal processing for unbiased damping ratio estimates
title_sort frequency domain decomposition method: a comparative study on signal processing for unbiased damping ratio estimates
publishDate 2021
url http://eprints.utm.my/id/eprint/97983/1/MohdSalman2021_FrequencyDomainDecompositionMethodAComparativeStudy.pdf
http://eprints.utm.my/id/eprint/97983/
http://dx.doi.org/10.1088/1757-899X/1062/1/012003
_version_ 1751536131073114112
score 13.211869

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