Advanced Information and Knowledge Processing

By: Vasile Palade (Editor), Cosmin Danut Bocaniala (Editor)

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Hardcover | 22 September 2006

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Hardcover
384 Pages

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23.5 x 15.88 x 2.54

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Presenting the latest developments and research results on fault diagnosis approaches using computational intelligence methodologies, Computational Intelligence in Fault Diagnosis reviews the state of the art before focusing on theoretical aspects of computational intelligence methodologies applied to real-world fault diagnosis problems. Chapters deal with topics such as fuzzy sets applications to fault diagnosis, neural network based fault diagnosis applications and neuro-fuzzy techniques for fault diagnosis. The final chapter considers the problem of diagnosing large scale complex systems using local agents which can be implemented using computational intelligence based fault diagnosis techniques. The text offers case studies, including applying computational intelligence techniques to aero-engines fault diagnosis, and diagnosing faults to various industrial devices such as a flow control valve and a hydraulic installation in a rolling mill plant. This book presents the most recent concerns and research results in industrial fault diagnosis using intelligent techniques.

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"This book is a collection of 11 chapters written mostly by authors from European countries and Malaysia. The focus is on fault diagnosis using computational intelligence techniques. ... This book will be useful to doctoral students interested in the application of neural and neural-fuzzy techniques to diagnose problems arising in mechanical and aeronautical engineering disciplines." (Rao Vemuri, Computing Reviews, January, 2007)

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Contributors	p. v
Foreword	p. ix
Preface	p. xi
Computational intelligence methodologies in fault diagnosis: Review and state of the art	p. 1
A fuzzy logic approach to gas path diagnostics in aero-engines	p. 37
Fault detection and isolation of industrial processes using optimized fuzzy models	p. 81
A fuzzy classification technique applied to fault diagnosis	p. 105
Fuzzy-statistical reasoning in fault diagnosis	p. 125
Artificial neural networks in fault diagnosis: A gas turbine scenario	p. 179
Two-stage neural networks based classifier system for fault diagnosis	p. 209
Soft computing models for fault diagnosis of conductive flow systems	p. 231
Fault diagnosis in a power generation plant using a neural fuzzy system with rule extraction	p. 287
Fuzzy neural networks applied to fault diagnosis	p. 305
Causal models for distributed fault diagnosis of complex systems	p. 335
Index	p. 357
Table of Contents provided by Ingram. All Rights Reserved.

Advanced Information and Knowledge Processing

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

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