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)

• 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.

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)

• 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.

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)

• 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.