Annalisa Liccardo, Carlo Manna, Pasquale Arpaia

Automatic Monitoring, Fault Diagnostics, and Maintenance

Using Meta-Heuristic Optimization

• Gebundenes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis Inc
• Seitenzahl: 272
• Erscheinungstermin: 5. Januar 2026
• Englisch
• Abmessung: 234mm x 156mm
• ISBN-13: 9781466555310
• ISBN-10: 1466555319
• Artikelnr.: 37796314

Inhaltsangabe

Fault Detection in Absence of Process Model. Fault Diagnosis in Expert
Systems. In-Time Prognosis in Expert Systems for Health Monitoring.
Predictive Maintenance in Industrial Systems. Meta-Heuristic Approaches in
Industrial Processes. Fault Detection Based on Wavelet Signal Analysis by
Means of Cultural Algorithms. Fault Diagnosis Based on Meta-Heuristic
Strategies Applied to Deep Knowledge Approach. In-Time Prognosis Based on
Particle Swarm Optimization. Predictive Maintenance Based on Extremal
Optimization. Fault Detection on Elevator Systems. Fault Diagnosis in
Industrial Systems. In-Time Prognosis in Home Healthcare Systems. Remote
Building Maintenance.