Computational Intelligence In Fault Diagnosis

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ISBN 10: 1846283434 / ISBN 13: 9781846283437

Edité par Springer, 2006

A propos de cet article

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Détails bibliographiques

• Titre: Computational Intelligence In Fault Diagnosis
• Éditeur: Springer
• Date de parution: 2006
• Langue: anglais
• ISBN à 10 chiffres: 1846283434
• ISBN à 13 chiffres: 9781846283437
• Reliure: Couverture rigide
• État de l'article: Brand New

A propos de ce titre

Synopsis

Presenting the latest developments and research results on fault diagnosis approaches using computational intelligence methodologies, Computational Intelligence in Fault Diagnosis reviews the state of the art before focusing on 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 final chapter considers the problem of diagnosing large scale complex systems using local agents which can be implemented using computational intelligence based fault diagnosis techniques. The text offers case studies, including applying computational intelligence techniques to aero-engines fault diagnosis, and diagnosing faults to various industrial devices such as a flow control valve and a hydraulic installation in a rolling mill plant. This book presents the most recent concerns and research results in industrial fault diagnosis using intelligent techniques.

Présentation de l'éditeur

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.