eBook, PDF

Computational Intelligence in Fault Diagnosis (eBook, PDF)

Beschreibung

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.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 7.08MB

Barrierefreiheit

• Text-to-Speech

Produktdetails

• Verlag: Springer London
• Seitenzahl: 362
• Erscheinungstermin: 22. Dezember 2006
• Englisch
• ISBN-13: 9781846286315
• Artikelnr.: 37346422

Rezensionen

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)