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.

Fault Detection in Absence of Process Model Fault detection based on signal analysis instrumentation Fault Diagnosis in Expert Systems Background on expert systems for automatic fault diagnosis In-Time Prognosis in Expert Systems for Health Monitoring Methods in home health monitoring Predictive Maintenance in Industrial Systems Predictive maintenance Meta-Heuristic Approaches in Industrial Processes Evolutionary approaches Swarm intelligence Fault Detection Based on Wavelet Signal Analysis by Means of Cultural Algorithms Problem statement of fault detection by signature analysis The proposed method: design of lifting scheme Wavelet Packet decomposition by means of cultural algorithm Fault Diagnosis Based on Meta-Heuristic Strategies Applied to Deep Knowledge Approach Problem statement: multiple fault diagnosis The proposed methods In-Time Prognosis Based on Particle Swarm Optimization The problem of in-time prognosis in home health monitoring A methodology for industrial prognosis using particle swarm optimization Predictive Maintenance Based on Extremal Optimization Statement of the predictive maintenance scheduling problem A generalized extremal optimization for predictive maintenance scheduling Fault Detection on Elevator Systems Experimental set up Experimental results Discussion Fault Diagnosis in Industrial Systems Experimental test for QuCEA Experimental test for ASDS Experimental test for distributed micro-GA In-Time Prognosis in Home Healthcare Systems Experimental set up Experimental results Conclusion Remote Building Maintenance Experimental test Discussion References appear at the end of each chapter.