A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems
| dc.contributor.author | Jaksic, Vesna | |
| dc.contributor.author | Mandic, D. P. | |
| dc.contributor.author | Ryan, K. | |
| dc.contributor.author | Basu, Biswajit | |
| dc.contributor.author | Pakrashi, Vikram | |
| dc.date.accessioned | 2017-02-28T09:44:01Z | |
| dc.date.available | 2017-02-28T09:44:01Z | |
| dc.date.issued | 2016-01-06 | |
| dc.date.updated | 2017-02-28T09:33:50Z | |
| dc.description.abstract | 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. | en |
| dc.description.status | Peer reviewed | en |
| dc.description.version | Published Version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Jaksic, V., Mandic, D. P., Ryan, K., Basu, B. and Pakrashi, V. (2016) 'A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems', Royal Society Open Science, 3,150493 . doi:10.1098/rsos.150493 | en |
| dc.identifier.doi | 10.1098/rsos.150493 | |
| dc.identifier.endpage | 150493-24 | en |
| dc.identifier.issn | 2054-5703 | |
| dc.identifier.journaltitle | Royal Society Open Science | en |
| dc.identifier.startpage | 150493-1 | en |
| dc.identifier.uri | https://hdl.handle.net/10468/3702 | |
| dc.identifier.volume | 3 | en |
| dc.language.iso | en | en |
| dc.publisher | The Royal Society | en |
| dc.rights | © 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. | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject | Delay vector variance | en |
| dc.subject | Signal nonlinearity | en |
| dc.subject | Structural dynamics | en |
| dc.subject | Benchmarking | en |
| dc.subject | Wind turbine blade | en |
| dc.title | A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems | en |
| dc.type | Article (peer-reviewed) | en |
