Computational Intelligence in Fault Diagnosis

• Corporate Author: SpringerLink (Online service)
• Other Authors: Palade, Vasile (Editor), Jain, Lakhmi (Editor), Bocaniala, Cosmin Danut (Editor)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2006.
• Series: Advanced Information and Knowledge Processing
• Subjects: Computer science.; Logic design.; Computer software > Reusability.; Computers.; Artificial intelligence.; Computer simulation.; Image processing.; Computer Science.; Image Processing and Computer Vision.; Theory of Computation.; Logic Design.; Artificial Intelligence (incl. Robotics).; Simulation and Modeling.; Performance and Reliability.

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 moving on to focus on various theoretical aspects of computational intelligence methodologies applied to...

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.