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

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Title: A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems
Authors: Jaksic, Vesna
Mandic, Danilo P.
Ryan, Kevin M.
Basu, Biswajit
Pakrashi, Vikram
Permanent link: http://hdl.handle.net/10197/10437
Date: 1-Jan-2016
Online since: 2019-05-14T11:20:57Z
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.
Funding Details: Irish Research Council for Science, Engineering and Technology
Science Foundation Ireland
Type of material: Journal Article
Publisher: The Royal Society
Journal: Royal Society Open Science
Volume: 3
Issue: 1
Start page: 1
End page: 24
Copyright (published version): 2016 the Authors
Keywords: Delay vector varianceSignal nonlinearityStructural dynamicsBenchmarkingWind turbine blade
DOI: 10.1098/rsos.150493
Language: en
Status of Item: Peer reviewed
Appears in Collections:Mechanical & Materials Engineering Research Collection

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