Estimation of flexural wavenumbers in the presence of multiple wave components
Estimation of flexural wavenumbers in the presence of multiple wave components
The separation of closely spaced spectral components is a known problem in signal processing, be it response data either in the spatial or temporal domain. Herein an experimental method based on the maximisation of the correlation between measured data and an arbitrary plane wave field is investigated for its capability in distinguishing closely spaced flexural wavenumbers. Limitations
arising from data sampling, windowing and differences in the amplitudes and phases of the two wave components are considered. These processes are used along with numerical simulations as a basis to establish the boundaries within which the method successfully detects the components present.
Results show that differences in phases between the wave components have a higher impact on the method’s capability on resolving the two wave numbers. Differences in the wave amplitudes are only limiting when their ratio is comparable to that of the side lobe of the dominant wave in the k-space;
it is inherently related to the process of windowing and its resulting spectral leakage.
Watanabe Bavaresco, Milena
944b3d85-44e3-4305-bd2c-af107ebfd45c
Ferguson, Neil
8cb67e30-48e2-491c-9390-d444fa786ac8
Ibsen, Claus Hessler
24d709c4-027c-43bb-b41c-9f0ede94483f
Bhaskar, Atul
d4122e7c-5bf3-415f-9846-5b0fed645f3e
21 August 2022
Watanabe Bavaresco, Milena
944b3d85-44e3-4305-bd2c-af107ebfd45c
Ferguson, Neil
8cb67e30-48e2-491c-9390-d444fa786ac8
Ibsen, Claus Hessler
24d709c4-027c-43bb-b41c-9f0ede94483f
Bhaskar, Atul
d4122e7c-5bf3-415f-9846-5b0fed645f3e
Watanabe Bavaresco, Milena, Ferguson, Neil, Ibsen, Claus Hessler and Bhaskar, Atul
(2022)
Estimation of flexural wavenumbers in the presence of multiple wave components.
Inter Noise 2022, Scottish Event Campus, Glasgow, United Kingdom.
21 - 24 Aug 2022.
Record type:
Conference or Workshop Item
(Paper)
Abstract
The separation of closely spaced spectral components is a known problem in signal processing, be it response data either in the spatial or temporal domain. Herein an experimental method based on the maximisation of the correlation between measured data and an arbitrary plane wave field is investigated for its capability in distinguishing closely spaced flexural wavenumbers. Limitations
arising from data sampling, windowing and differences in the amplitudes and phases of the two wave components are considered. These processes are used along with numerical simulations as a basis to establish the boundaries within which the method successfully detects the components present.
Results show that differences in phases between the wave components have a higher impact on the method’s capability on resolving the two wave numbers. Differences in the wave amplitudes are only limiting when their ratio is comparable to that of the side lobe of the dominant wave in the k-space;
it is inherently related to the process of windowing and its resulting spectral leakage.
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Published date: 21 August 2022
Venue - Dates:
Inter Noise 2022, Scottish Event Campus, Glasgow, United Kingdom, 2022-08-21 - 2022-08-24
Identifiers
Local EPrints ID: 469709
URI: http://eprints.soton.ac.uk/id/eprint/469709
PURE UUID: 9fe6842c-6140-4549-a6c1-41514186874d
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Date deposited: 22 Sep 2022 16:47
Last modified: 17 Mar 2024 03:55
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Contributors
Author:
Milena Watanabe Bavaresco
Author:
Claus Hessler Ibsen
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