Computational Intelligence in Fault Diagnosis by Vasile PaladeComputational Intelligence in Fault Diagnosis by Vasile Palade

Computational Intelligence in Fault Diagnosis

EditorVasile Palade, Cosmin Danut Bocaniala

Paperback | October 22, 2010

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This book presents the most recent concerns and research results in industrial fault diagnosis using intelligent techniques. It focuses on computational intelligence applications to fault diagnosis with real-world applications used in different chapters to validate the different diagnosis methods. The book includes one chapter dealing with a novel coherent fault diagnosis distributed methodology for complex systems.
Title:Computational Intelligence in Fault DiagnosisFormat:PaperbackDimensions:380 pages, 9.25 × 6.1 × 0.68 inPublished:October 22, 2010Publisher:Springer LondonLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1849965838

ISBN - 13:9781849965835

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Table of Contents

Computational intelligence methodologies in fault diagnosis: Review and state of the art.- A fuzzy logic approach to gas path diagnostics in aero-engines.- Fault detection and isolation of industrial processes using optimized fuzzy models.- A fuzzy classification technique applied to fault diagnosis.- Fuzzy-statistical reasoning in fault diagnosis.- Artificial neural networks in fault diagnosis: A gas turbine scenario.- Two-stage neural networks based classifier system for fault diagnosis.- Soft computing models for fault diagnosis of conductive flow systems.- Fault diagnosis in a power generation plant using a neural fuzzy system with rule extraction.- Fuzzy neural networks applied to fault diagnosis.- Causal models for distributed fault diagnosis of complex systems.

Editorial Reviews

From the reviews:"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)