Principal component analysis of the cross-axis apparent mass nonlinearity during whole-body vibration
Principal component analysis of the cross-axis apparent mass nonlinearity during whole-body vibration
During whole-body vibration (WBV), dynamic forces measured at the excitation-subject interface in directions other than the excitation axis, i.e. cross-axis response, are analysed using the principal component analysis (PCA) and virtual coherence techniques. The study applied these operations to the inline and cross-axis forces measured with twelve semisupine human subjects exposed to longitudinal horizontal nominally random vibration between 0.25 and 20 Hz at root mean square acceleration levels of 0.125 ms-2 and 1.0 ms-2. The source identification is realised by a reversed path, aiming to identify relative contributions and correlations between the forces in response to a single axis excitation. The inline longitudinal and the cross-axis vertical forces were found to be correlated to each other from a low (e.g. 1 to 3 Hz) to a medium frequency range (e.g. 10 to 15 Hz). Above this range, where the forces were much reduced, the two forces tended to be independent in their contribution to the overall response. The singular vectors and virtual coherences were able to establish the degree of correlation in each of the frequency band identified. A signal processing framework is then proposed to take into account cross-axis responses for human vibration.
Whole-body vibration, principal component analysis, singular value decomposition
1-13
Huang, Ya
34bf4b25-ced8-4b2e-a84b-9cad414ec39f
Ferguson, Neil
8cb67e30-48e2-491c-9390-d444fa786ac8
Huang, Ya
34bf4b25-ced8-4b2e-a84b-9cad414ec39f
Ferguson, Neil
8cb67e30-48e2-491c-9390-d444fa786ac8
Huang, Ya and Ferguson, Neil
(2020)
Principal component analysis of the cross-axis apparent mass nonlinearity during whole-body vibration.
Mechanical Systems and Signal Processing, , [107008].
(doi:10.1016/j.ymssp.2020.107008).
Abstract
During whole-body vibration (WBV), dynamic forces measured at the excitation-subject interface in directions other than the excitation axis, i.e. cross-axis response, are analysed using the principal component analysis (PCA) and virtual coherence techniques. The study applied these operations to the inline and cross-axis forces measured with twelve semisupine human subjects exposed to longitudinal horizontal nominally random vibration between 0.25 and 20 Hz at root mean square acceleration levels of 0.125 ms-2 and 1.0 ms-2. The source identification is realised by a reversed path, aiming to identify relative contributions and correlations between the forces in response to a single axis excitation. The inline longitudinal and the cross-axis vertical forces were found to be correlated to each other from a low (e.g. 1 to 3 Hz) to a medium frequency range (e.g. 10 to 15 Hz). Above this range, where the forces were much reduced, the two forces tended to be independent in their contribution to the overall response. The singular vectors and virtual coherences were able to establish the degree of correlation in each of the frequency band identified. A signal processing framework is then proposed to take into account cross-axis responses for human vibration.
Text
2020-05-16_J_PCA am_MSSP_accepted
- Accepted Manuscript
More information
Accepted/In Press date: 27 May 2020
e-pub ahead of print date: 12 June 2020
Keywords:
Whole-body vibration, principal component analysis, singular value decomposition
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Local EPrints ID: 441283
URI: http://eprints.soton.ac.uk/id/eprint/441283
ISSN: 0888-3270
PURE UUID: fc2bca2e-bd76-4e56-be8e-df5c3e9b65df
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Date deposited: 08 Jun 2020 16:32
Last modified: 17 Mar 2024 05:37
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Author:
Ya Huang
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