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Abstract
Online monitoring of modal and physical parameters which change due to damage progression and aging of mechanical and structural systems is important for the condition and health monitoring of these systems. Usually, only the limited number of imperfect, noisy system state measurements is available, thus identification of time-varying systems with nonlinearities can be a very challenging task. In order to avoid conventional least squares and gradient identification methods which require uni-modal and double differentiable objective functions, this work proposes a modified differential evolution (DE) algorithm for the identification of time-varying systems. DE is an evolutionary optimisation method developed to perform direct search in a continuous space without requiring any derivative estimation. DE is modified so that the objective function changes with time to account for the continuing inclusion of new data within an error metric. This paper presents results of identification of a time-varying SDOF system with Coulomb friction using simulated noise-free and noisy data for the case of time-varying friction coefficient, stiffness and damping. The obtained results are promising and the focus of the further work will be on the convergence study with respect to parameters of DE and on applying the method to experimental data.
Original language | English |
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Title of host publication | Topics in Modal Analysis, Volume 7 : Proceedings of the 31st IMAC, A Conference on Structural Dynamics, 2013 |
Editors | Randall Allemang, James De Clerck, Christopher Niezrecki, Alfred Wicks |
Number of pages | 9 |
Volume | 7 |
Publisher | Springer VS |
Publication date | 2014 |
Pages | 575-583 |
Chapter | 56 |
ISBN (Print) | 978-1-4614-6584-3 |
ISBN (Electronic) | 978-1-4614-6585-0 |
DOIs | |
Publication status | Published - 2014 |
Event | IMAC XXXI : A Conference and Exposition on Structural Dynamics - California, United States Duration: 11 Feb 2013 → 14 Feb 2013 |
Conference
Conference | IMAC XXXI |
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Location | California |
Country/Territory | United States |
Period | 11/02/2013 → 14/02/2013 |
Series | Conference Proceedings of the Society for Experimental Mechanics Series |
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Number | 31 |
ISSN | 2191-5644 |
Bibliographical note
Series Editor: Tom Proulx, Society for Experimental Mechanics, Inc., Bethel, CT, USAKeywords
- Differential Evolution
- Time-Varying Systems
- Coulomb Friction
- Nonlinear System Identification
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SYSWIND - Training future mechanical, civil, electronic engineers and compuer scientists in SYStem Identification, Condition & Health Monitoring for a New Generation of WIND Turbines
Nielsen, S. R. K. & Chougule, P.
01/01/2010 → …
Project: Research
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PhD Project: System Identification of Wind Turbines for Structural Health Monitoring
Perisic, N. & Kirkegaard, P. H.
01/09/2010 → 31/08/2013
Project: PhD Project
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