Predictive Maintenance in Dynamic Systems Advanced Methods, Decision Support Tools and Real-World Applications /

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, con...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Lughofer, Edwin (Editor), Sayed-Mouchaweh, Moamar (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Subjects:
Telecommunication.
Security systems.
Control engineering.
Computational intelligence.
Computer networks .
Communications Engineering, Networks.
Security Science and Technology.
Control and Systems Theory.
Computational Intelligence.
Computer Communication Networks.
Online Access:Full-text access
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Table of Contents:
  • Introduction
  • Predictive Maintenance and (Early) FDD in Dynamic Systems
  • Beyond State-of-the-Art
  • Early Fault Detection and Diagnosis Approaches
  • Prognostics and Forecasting
  • Self-Reaction and Self-Healing Techniques
  • Applications of Predictive Maintenance with emphasize on Industry 4.0 challenges
  • Conclusion.

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