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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Lughofer, Edwin (Editor, http://id.loc.gov/vocabulary/relators/edt), Sayed-Mouchaweh, Moamar (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Electrical engineering.; Quality control.; Reliability.; Industrial safety.; Control engineering.; Computational intelligence.; Computers.; Communications Engineering, Networks.; Quality Control, Reliability, Safety and Risk.; Control and Systems Theory.; Computational Intelligence.; Information Systems and Communication Service.

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...

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.