Automatic Monitoring, Fault Diagnostics, and Maintenance : Using Meta-Heuristic Optimization

Title: Automatic Monitoring, Fault Diagnostics, and Maintenance : Using Meta-Heuristic Optimization
Author: Carlo Manna, Pasquale Arpaia
ISBN: 1466555319 / 9781466555310
Format: Hard Cover
Pages: 272
Publisher: CRC Press
Year: 2013
Availability: Out of Stock

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Based on practical field experience and several case studies, this book presents state-of-the-art artificial intelligence techniques, validating their efficiency and accuracy in real-world industrial applications. The authors show how a meta-heuristic approach can enhance automatic fault monitoring in man-made systems. For each phase of fault monitoring, they propose a meta-heuristic approach that is tested experimentally in an actual industrial environment. While the proposed methods are validated on specific industrial problems, their applicability is wide and general.

Tab Article

Preface

Chapter 1 :
Fault Detection in Absence of Process Model
Chapter 2 : Fault Diagnosis in Expert Systems
Chapter 3 : In-Time Prognosis in Expert Systems for Health Monitoring
Chapter 4 : Predictive Maintenance in Industrial Systems
Chapter 5 : Meta-Heuristic Approaches in Industrial Processes
Chapter 6 : Fault Detection Based on Wavelet Signal Analysis by Means of Cultural Algorithms
Chapter 7 : Fault Diagnosis Based on Meta-Heuristic Strategies Applied to Deep Knowledge Approach
Chapter 8 : In-Time Prognosis Based on Particle Swarm Optimization
Chapter 9 : Predictive Maintenance Based on Extremal Optimization
Chapter 10 : Fault Detection on Elevator Systems
Chapter 11 : Fault Diagnosis in Industrial Systems
Chapter 12 : In-Time Prognosis in Home Healthcare Systems
Chapter 13 : Remote Building Maintenance

Index