Journal ArticleDOI
Soft Computing Approaches to Fault Diagnosis for Dynamic Systems
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TLDR
The paper provides many powerful examples of the use of SC methods for achieving good detection and isolation of faults in the presence of uncertain plant behaviour, together with their practical value for fault diagnosis of real process systems.About:
This article is published in European Journal of Control.The article was published on 2001-01-01. It has received 99 citations till now. The article focuses on the topics: Fault detection and isolation & Soft computing.read more
Citations
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Journal ArticleDOI
Introduction to the DAMADICS actuator FDI benchmark study
TL;DR: The DAMADICS European Research Training Network (DAMADICS) actuator benchmark used in fault diagnosis studies is described in this paper, which is based on an in-depth study of the phenomena that can lead to likely faults in valve actuator systems and includes typical engineering requirements of an actuator valve operating under challenging process conditions, e.g. providing a set of performance indices for evaluating the results.
Book
Artificial Neural Networks for the Modelling and Fault Diagnosis of Technical Processes
TL;DR: Modelling Issue in Fault Diagnosis, Locally Recurrent Neural Networks, and Stability and Stabilization of Locally recurrent Networks.
Journal ArticleDOI
Model-based fault detection and isolation of a steam generator using neuro-fuzzy networks
TL;DR: Experimental results presented in the final part of the paper confirm the effectiveness of the neuro-fuzzy networks based scheme for fault detection and isolation of a U-tube steam generator in a nuclear power plant.
Journal ArticleDOI
Fuzzy logic-based decision-making for fault diagnosis in a DC motor
TL;DR: A decision-making module based on fuzzy logic for model-based fault diagnosis applications, based on the input-output linear model parity equations approach, has been successfully applied in laboratory equipment, resulting in a reduction of the uncertainty due to disturbances and modelling errors.
Journal ArticleDOI
Identification of neural dynamic models for fault detection and isolation: the case of a real sugar evaporation process
Krzysztof Patan,Thomas Parisini +1 more
TL;DR: In this article, the authors proposed a fault detection and isolation system for industrial processes using dynamic neural networks, which has a feed-forward multi-layer structure and dynamic characteristics are obtained by using dynamic neuron models.
References
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Book
Neural Networks: A Comprehensive Foundation
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Book
Genetic Algorithms + Data Structures = Evolution Programs
TL;DR: GAs and Evolution Programs for Various Discrete Problems, a Hierarchy of Evolution Programs and Heuristics, and Conclusions.
Journal ArticleDOI
Finding Structure in Time
TL;DR: A proposal along these lines first described by Jordan (1986) which involves the use of recurrent links in order to provide networks with a dynamic memory and suggests a method for representing lexical categories and the type/token distinction is developed.
Book
Self Organization And Associative Memory
TL;DR: The purpose and nature of Biological Memory, as well as some of the aspects of Memory Aspects, are explained.
Journal ArticleDOI
Identification and control of dynamical systems using neural networks
TL;DR: It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems and the models introduced are practically feasible.