Equipment Health Monitoring in Complex Systems

The need for intelligent diagnostics and proposed health monitoring framework is explained. Machine learning for health monitoring, including feature extraction, data visualization, model boundaries and performance is presented. Details about monitoring aircraft engines and model based monitoring systems are described in detail. Packed with two full chapters of case studies within industrial and healthcare settings, this book identifies key problems and provides insightful techniques for solving them. MATLAB code is included to help engineers with their projects in the field. This resource provides key insight into the future direction in health monitoring and emerging developments within sensing technology, big data analytics, and grid capabilities.