## Complexity of CME linear speed time series

- Anirban Chattopadhyay, Mofazzal Hossain Khondekar, Anup kr. Bhattacharjee
- 2016 International Conference on Signal…
- 2016

1 Excerpt

- Published 2016 in Royal Society open science

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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@article{Jaksic2016ACS,
title={A comprehensive study of the delay vector variance method for quantification of nonlinearity in dynamical systems.},
author={V Jaksic and Danilo P. Mandic and Karla Ryan and Biswajit Basu and Vikram Pakrashi},
journal={Royal Society open science},
year={2016},
volume={3 1},
pages={150493}
}