Achievable precision of close modes in operational modal analysis : wide band theory

This work takes up the challenge of deriving the ‘uncertainty law’ for close modes, i.e., closed form analytical expressions for the remaining uncertainty of modal parameters identified using (output-only) ambient vibration data. In principle the uncertainty law can be obtained from the inverse of t...

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Main Authors: Au, Siu-Kui, Li, Binbin, Brownjohn, James M. W.
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/143871
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1438712020-09-29T02:17:22Z Achievable precision of close modes in operational modal analysis : wide band theory Au, Siu-Kui Li, Binbin Brownjohn, James M. W. School of Civil and Environmental Engineering UK Engineering & Physical Research Council Institute of Catastrophe Risk Management (ICRM) Engineering::Civil engineering Ambient Modal Identification BAYOMA This work takes up the challenge of deriving the ‘uncertainty law’ for close modes, i.e., closed form analytical expressions for the remaining uncertainty of modal parameters identified using (output-only) ambient vibration data. In principle the uncertainty law can be obtained from the inverse of the Fisher information matrix of modal parameters. The key mathematical challenges stem from analytical treatment of entangled stochastic dynamics with a large number of modal parameters of different nature and the quest for closed form expressions for identification uncertainty, whose possibility is questionable. Fortunately the problem still admits insightful closed form solution under long data, high signal-to-noise ratio and wide resonance band for identification. Up to modelling assumptions and the use of probability, the uncertainty law dictates the achievable precision of modal properties regardless of the identification algorithm used. A companion paper discusses the insights, verification, scientific implications and recommendation for ambient test planning. Published version This work is part of a research project on ‘‘Uncertainty quantification and management in ambient modal identification” funded by the UK Engineering and Physical Sciences Research Council (grant EP/N017897/1 and EP/N017803) to understand ID uncertainty and provide a strong scientific basis for implementing and planning ambient vibration tests. 2020-09-29T01:35:16Z 2020-09-29T01:35:16Z 2020 Journal Article Au, S.-K., Li, B., & Brownjohn, J. M. W. (2020). Achievable precision of close modes in operational modal analysis : wide band theory. Mechanical Systems and Signal Processing, 147, 107016-. doi:10.1016/j.ymssp.2020.107016 0888-3270 https://hdl.handle.net/10356/143871 10.1016/j.ymssp.2020.107016 2-s2.0-85088919723 147 107016 en EP/N017897/1 EP/N017803 Mechanical Systems and Signal Processing © 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Civil engineering
Ambient Modal Identification
BAYOMA
spellingShingle Engineering::Civil engineering
Ambient Modal Identification
BAYOMA
Au, Siu-Kui
Li, Binbin
Brownjohn, James M. W.
Achievable precision of close modes in operational modal analysis : wide band theory
description This work takes up the challenge of deriving the ‘uncertainty law’ for close modes, i.e., closed form analytical expressions for the remaining uncertainty of modal parameters identified using (output-only) ambient vibration data. In principle the uncertainty law can be obtained from the inverse of the Fisher information matrix of modal parameters. The key mathematical challenges stem from analytical treatment of entangled stochastic dynamics with a large number of modal parameters of different nature and the quest for closed form expressions for identification uncertainty, whose possibility is questionable. Fortunately the problem still admits insightful closed form solution under long data, high signal-to-noise ratio and wide resonance band for identification. Up to modelling assumptions and the use of probability, the uncertainty law dictates the achievable precision of modal properties regardless of the identification algorithm used. A companion paper discusses the insights, verification, scientific implications and recommendation for ambient test planning.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Au, Siu-Kui
Li, Binbin
Brownjohn, James M. W.
format Article
author Au, Siu-Kui
Li, Binbin
Brownjohn, James M. W.
author_sort Au, Siu-Kui
title Achievable precision of close modes in operational modal analysis : wide band theory
title_short Achievable precision of close modes in operational modal analysis : wide band theory
title_full Achievable precision of close modes in operational modal analysis : wide band theory
title_fullStr Achievable precision of close modes in operational modal analysis : wide band theory
title_full_unstemmed Achievable precision of close modes in operational modal analysis : wide band theory
title_sort achievable precision of close modes in operational modal analysis : wide band theory
publishDate 2020
url https://hdl.handle.net/10356/143871
_version_ 1681056858370998272