A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems
Author(s)
Jaksic, V
Mandic, DP
Ryan, K
Basu, B
Pakrashi, V
Type
Journal Article
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.
Date Issued
2016-01-01
Date Acceptance
2015-11-26
Citation
Royal Society Open Science, 2016, 3 (1)
ISSN
2054-5703
Publisher
The Royal Society
Journal / Book Title
Royal Society Open Science
Volume
3
Issue
1
Copyright Statement
© 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.
Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted
use, provided the original author and source are credited.
License URL
Subjects
Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
delay vector variance
signal nonlinearity
structural dynamics
benchmarking
wind turbine blade
TIME-SERIES
SURROGATE
DETERMINISM
DAMAGE
CHAOS
Publication Status
Published
Article Number
150493
Date Publish Online
2016-01-01