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

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.