Description: Predictive Maintenance in Dynamic Systems : Advanced Methods, Decision Support Tools and Real-world Applications, Hardcover by Lughofer, Edwin (EDT); Sayed-mouchaweh, Moamar (EDT), ISBN 3030056449, ISBN-13 9783030056445, Like New Used, Free shipping in the US This book provides a complete picture of several decision support tools for predictive maintenance. These include embedding early anomaly/fault detection, diagnosis and reasoning, remaining useful life prediction (fault prognostics), quality prediction and self-reaction, as well as optimization, control and self-healing techniques. It shows recent applications of these techniques within various types of industrial (production/utilities/equipment/plants/smart devices, etc.) systems addressing several challenges in Industry and different tasks dealing with Big Data Streams, Internet of Things, specific infrastructures and tools, high system dynamics and non-stationary environments . Applications discussed include production and manufacturing systems, renewable energy production and management, maritime systems, power plants and turbines, conditioning systems, compressor valves, induction motors, flight simulators, railway infrastructures, mobile robots, cyber security and Internet of Things. The contributors go beyond state of the art by placing a specific focus on dynamic systems, where it is of utmost importance to update system and maintenance models on the fly to maintain their predictive power.
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Book Title: Predictive Maintenance in Dynamic Systems : Advanced Methods, Decision Support Tools and Real-World Applications
Item Length: 9.3in
Item Width: 6.1in
Author: Moamar Sayed-Mouchaweh
Format: Hardcover
Language: English
Topic: Automation, Telecommunications, Quality Control
Publisher: Springer International Publishing A&G
Publication Year: 2019
Genre: Technology & Engineering
Item Weight: 36.4 Oz
Number of Pages: Xiii, 567 Pages
