Computational Intelligence in Fault Diagnosis
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...
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| Corporate Author: | |
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| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London :
Springer London : Imprint: Springer,
2006.
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| Edition: | 1st ed. 2006. |
| Series: | Advanced Information and Knowledge Processing,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-1-84628-631-5 |
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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.