Description
Equipment Health Monitoring in Complex Systems
Author: KING Stephen P.
Language: EnglishSubject for Equipment Health Monitoring in Complex Systems:
Approximative price 182.13 €
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Add to cart the book of KING Stephen P.
Publication date: 11-2017
250 p. · Hardback
250 p. · Hardback
Description
/li>Contents
/li>Biography
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This timely resource provides a practical introduction to equipment health
monitoring (EHM) to ensure the cost effective operation and control of
critical systems in defense, industrial, and healthcare applications. This
book highlights how to frame health monitoring design applications within
a system engineering process, to ensure an optimized EHM functional
architecture and practical algorithm design.
This book clarifies the need for intelligent diagnostics and proposed health monitoring framework. 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. This resource provides a look into the future direction in health monitoring and emerging developments within sensing technology, big data analytics, and advanced computing capabilities.
This book clarifies the need for intelligent diagnostics and proposed health monitoring framework. 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. This resource provides a look into the future direction in health monitoring and emerging developments within sensing technology, big data analytics, and advanced computing capabilities.
- Systems Engineering for EHM
- The Need for Intelligent Diagnostics
- Machine Learning for Health Monitoring
- Case Studies of Medical Monitoring Systems
- Monitoring Aircraft Engines
- Future Directions in Health Monitoring
- The Need for Intelligent Diagnostics
- Machine Learning for Health Monitoring
- Case Studies of Medical Monitoring Systems
- Monitoring Aircraft Engines
- Future Directions in Health Monitoring
Stephen P. 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.
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