This timely new resource provides a practical introduction to equipment health monitoring (EHM) to ensure the safe operation and control of critical systems in defense, industrial, and healthcare applications. This book highlights system engineering processes and presents an overview of systems engineering for EHM design. The EHM functional architecture design as well as algorithm design is explored in this book and details about modeling the system, development approach alternatives, and performance assessment are included. 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.
