A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems
dc.contributor.author | Jaksic, V. | en_US |
dc.contributor.author | Ryan, K. | en_US |
dc.contributor.author | Mandic, D.P. | en_US |
dc.date.accessioned | 2016-10-11T05:37:13Z | |
dc.date.available | 2016-10-11T05:37:13Z | |
dc.date.issued | 2016 | en_US |
dc.identifier.other | HPU4160664 | en_US |
dc.identifier.uri | https://lib.hpu.edu.vn/handle/123456789/23554 | en_US |
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 areconsidered 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. | en_US |
dc.format.extent | 24 p. | en_US |
dc.format.mimetype | application/pdf | en_US |
dc.language.iso | en | en_US |
dc.subject | Engineering | en_US |
dc.subject | Structural engineering | en_US |
dc.subject | Mechanical engineering | en_US |
dc.subject | Energy | en_US |
dc.subject | Delay vector variance | en_US |
dc.subject | Signal nonlinearity | en_US |
dc.subject | Structural dynamics | en_US |
dc.subject | Benchmarking | en_US |
dc.subject | Wind turbine blade | en_US |
dc.title | A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems | en_US |
dc.type | Article | en_US |
dc.size | 2.80MB | en_US |
dc.department | Education | en_US |
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