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9781846283437

Computational Intelligence in Fault Diagnosis

by ; ;
  • ISBN13:

    9781846283437

  • ISBN10:

    1846283434

  • Format: Hardcover
  • Copyright: 2006-07-14
  • Publisher: Springer-Verlag New York Inc

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Summary

Presenting the latest developments and research results on fault diagnosis approaches using computational intelligence methodologies, this book opens with a review of the state-of-the-art before focusing on various 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 last chapter considers the problem of diagnosing large scale complex systems using local agents which, can be implemented using computational intelligence based fault diagnosis techniques. Several case studies are used. This book presents the most recent concerns and research results in industrial fault diagnosis using intelligent techniques, and will be of interest to application engineers/technologists, graduates and researchers wishing to apply these techniques, as well as build up a foundation for further study.

Table of Contents

Contributors v
Foreword ix
Preface xi
1 Computational intelligence methodologies in fault diagnosis: Review and state of the art
1(36)
Cosmin Danut Bocaniala and Vasile Palade
2 A fuzzy logic approach to gas path diagnostics in aero-engines
37(44)
Luca Marinai and Riti Singh
3 Fault detection and isolation of industrial processes using optimized fuzzy models
81(24)
Luis Mendonça, João Sousa and José Sá da Costa
4 A fuzzy classification technique applied to fault diagnosis
105(20)
Cosmin Danut Bocaniala and José Sá da Costa
5 Fuzzy-statistical reasoning in fault diagnosis
125(54)
Dan Stefanoiu and Florin Ionescu
6 Artificial neural networks in fault diagnosis: A gas turbine scenario
179(30)
Stephen Ogaji and Riti Singh
7 Two-stage neural networks based classifier system for fault diagnosis
209(22)
Arunas Lipnickas
8 Soft computing models for fault diagnosis of conductive flow systems
231(56)
Viorel Ariton
9 Fault diagnosis in a power generation plant using a neural fuzzy system with rule extraction
287(18)
Kok Yeng Chen, Chee Peng Lim and Weng Kin Lai
10 Fuzzy neural networks applied to fault diagnosis 305(30)
João Calado and José Sá da Costa
11 Causal models for distributed fault diagnosis of complex systems 335(22)
Cosmin Danut Bocaniala and José Sá da Costa
Index 357

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The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

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