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A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems

Although vibration monitoring is a popular method to monitor and assess dynamic structures, quantification of linearity or nonlinearity of the dynamic responses remains a challenging problem. We investigate the delay vector variance (DVV) method in this regard in a comprehensive manner to establish...

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Autores principales: Jaksic, V., Mandic, D. P., Ryan, K., Basu, B., Pakrashi, V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4736930/
https://www.ncbi.nlm.nih.gov/pubmed/26909175
http://dx.doi.org/10.1098/rsos.150493
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author Jaksic, V.
Mandic, D. P.
Ryan, K.
Basu, B.
Pakrashi, V.
author_facet Jaksic, V.
Mandic, D. P.
Ryan, K.
Basu, B.
Pakrashi, V.
author_sort Jaksic, V.
collection PubMed
description Although vibration monitoring is a popular method to monitor and assess dynamic structures, quantification of linearity or nonlinearity of the dynamic responses remains a challenging problem. We investigate the delay vector variance (DVV) method in this regard in a comprehensive manner to establish the degree to which a change in signal nonlinearity can be related to system nonlinearity and how a change in system parameters affects the nonlinearity in the dynamic response of the system. A wide range of theoretical situations are considered in this regard using a single degree of freedom (SDOF) system to obtain numerical benchmarks. A number of experiments are then carried out using a physical SDOF model in the laboratory. Finally, a composite wind turbine blade is tested for different excitations and the dynamic responses are measured at a number of points to extend the investigation to continuum structures. The dynamic responses were measured using accelerometers, strain gauges and a Laser Doppler vibrometer. This comprehensive study creates a numerical and experimental benchmark for structurally dynamical systems where output-only information is typically available, especially in the context of DVV. The study also allows for comparative analysis between different systems driven by the similar input.
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spelling pubmed-47369302016-02-23 A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems Jaksic, V. Mandic, D. P. Ryan, K. Basu, B. Pakrashi, V. R Soc Open Sci Engineering Although vibration monitoring is a popular method to monitor and assess dynamic structures, quantification of linearity or nonlinearity of the dynamic responses remains a challenging problem. We investigate the delay vector variance (DVV) method in this regard in a comprehensive manner to establish the degree to which a change in signal nonlinearity can be related to system nonlinearity and how a change in system parameters affects the nonlinearity in the dynamic response of the system. A wide range of theoretical situations are considered in this regard using a single degree of freedom (SDOF) system to obtain numerical benchmarks. A number of experiments are then carried out using a physical SDOF model in the laboratory. Finally, a composite wind turbine blade is tested for different excitations and the dynamic responses are measured at a number of points to extend the investigation to continuum structures. The dynamic responses were measured using accelerometers, strain gauges and a Laser Doppler vibrometer. This comprehensive study creates a numerical and experimental benchmark for structurally dynamical systems where output-only information is typically available, especially in the context of DVV. The study also allows for comparative analysis between different systems driven by the similar input. The Royal Society Publishing 2016-01-06 /pmc/articles/PMC4736930/ /pubmed/26909175 http://dx.doi.org/10.1098/rsos.150493 Text en http://creativecommons.org/licenses/by/4.0/ © 2016 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Engineering
Jaksic, V.
Mandic, D. P.
Ryan, K.
Basu, B.
Pakrashi, V.
A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems
title A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems
title_full A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems
title_fullStr A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems
title_full_unstemmed A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems
title_short A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems
title_sort comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4736930/
https://www.ncbi.nlm.nih.gov/pubmed/26909175
http://dx.doi.org/10.1098/rsos.150493
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