Journal ArticleDOI
Modeling and classification of non-linear systems using neural networks--I. Simulation
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TLDR
It is shown that multi-layer perceptron (MLP) neural networks can be used to model accurately sdof non-linear dynamical systems and to separate unambiguously linear and non- linear responses.About:
This article is published in Mechanical Systems and Signal Processing.The article was published on 1994-05-01. It has received 21 citations till now. The article focuses on the topics: Multilayer perceptron & Time delay neural network.read more
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Journal ArticleDOI
Past, present and future of nonlinear system identification in structural dynamics
TL;DR: In this article, a review of the past and recent developments in system identification of nonlinear dynamical structures is presented, highlighting their assets and limitations and identifying future directions in this research area.
Book ChapterDOI
System health monitoring and prognostics — a review of current paradigms and practices
TL;DR: The most common maintenance and repair strategy is "fix it when it breaks" as discussed by the authors, which can provide relatively high equipment reliability, but it tends to do so at excessive cost (higher scheduled downtimes).
Journal ArticleDOI
A review on computational intelligence for identification of nonlinear dynamical systems
TL;DR: This work aims to provide a broad overview of computational techniques belonging to the area of artificial intelligence tailored for identification of nonlinear dynamical systems, including genetic algorithm, particle swarm optimization, and differential evolution.
Journal ArticleDOI
Non-linear dynamics tools for the motion analysis and condition monitoring of robot joints
TL;DR: The results suggest a rise in unstable behaviour due to the introduction of backlash in robot joints, and a straightforward method for condition monitoring using non-linear dynamics characteristics, based on a classification procedure, is suggested.
Journal ArticleDOI
Surveillance of Mechanical Systems on the Basis of Vibration Signature Analysis
TL;DR: A comprehensive experimental study is presented to assess the utility of a proposed structural health monitoring and damage detection methodology based on vibration signature analysis of the test article that uses a time-domain least-squares-based method to identify reduced-order system matrices of an equivalent linear model whose order matches the number of available sensors.
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