UID:
almafu_9959323144302883
Format:
1 online resource (ix, 208 pages).
Edition:
1st ed.
ISBN:
1-5231-3262-0
,
1-63081-497-0
Series Statement:
Artech House computing library
Content:
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.n nThis 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.
Note:
Machine generated contents note: 1. Introduction -- 1.1. Maintenance Strategies -- 1.2. Overview of Health Monitoring -- 1.3. Organization of Book Contents -- References --
,
Also available in print.
Additional Edition:
ISBN 1-60807-972-4
Language:
English
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