This book is a practical introduction to the safe operation and control of critical systems in defense, industrial, and healthcare applications. It highlights system engineering processes and presents an overview of the equipment health monitoring (EHM) functional architecture and algorithm design. The book also explores machine learning functions, such as feature extraction, data visualization and model boundaries.
The need for intelligent diagnostics and proposed health monitoring framework is increasingly important within sensing technology, big data analytics and grid capabilities. This resource, packed with case studies from industrial and healthcare settings, identifies key problems along with various techniques that address the current issues as well as future developments in the field. A MATLAB code is included to assist engineers with projects in the field.
Stephen King is an engineering associate fellow and equipment health management specialist at Rolls-Royce Digital Business. He is also a visiting professor at Cranfield University. He received his Ph.D. in Mathematics and Computer Science from Lancaster University. Andrew Mills is a senior research fellow and program manager for the Rolls-Royce University Technology Center. He received his Ph.D. and M.Eng. in control system engineering from the University of Sheffield. Visakan Kadirkamanathan is a professor of signal and information processing at Cambridge University. He is also the director of the Rolls-Royce University Technology Center for Control and Monitoring Systems Engineering at Sheffield University. He received his Ph.D. in information engineering and his B.A. in electrical and information sciences at Cambridge University. Dave Clifton is an associate professor in the Department of Engineering Science at the University of Oxford and a governing body fellow of Balliol College, Oxford. He is a research fello of the Royal Academy of Engineering and leads the Computational Health Informatics (CHI) laboratory. He received his Ph.D. in information engineering at the University of Oxford
The Underlying DFT Concepts and Formulations; The Air Interface Architecture and Operation; The Coverage-Capacity Planning and Analysis; Pre-Launch Parameter Planning and Resource Allocation; Radio Resource Control and Mobility Management; Inter-Cell Interference Management in LTE; SON Technologies in LTC; EPC Network Architecture, Planning and Dimensioning Guideline; LTE Advanced Main Enhancements; Optimization for TCP Operation in 4G and Other Networks; Voice over LTE (VOLTE); LTE-Advance Pro-Enhanced LTE Features; Towards 5G.