Overview
- Synthesizes the state of the art in the domain of fault diagnosis of hybrid dynamic systems
- Studies the complementarities and the links between the different methods and techniques of fault diagnosis of hybrid dynamic systems
- Includes the required notions, definitions and background to understand the problem of fault diagnosis of hybrid dynamic systems and how to solve it
- Uses multiple examples in order to facilitate the understanding of the presented methods
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Table of contents (10 chapters)
Editors and Affiliations
About the editor
Moamar Sayed-Mouchaweh received his PhD from the University of Reims-France. He was working as Associated Professor in Computer Science, Control and Signal processing at the University of Reims-France in the Research Center in Sciences and Technology of the Information and the Communication. In December 2008, he obtained the Habilitation to Direct Researches (HDR) in Computer science, Control and Signal processing. Since September 2011, he is working as a Full Professor in the High National Engineering School of Mines Department of Computer Science and Automatic Control. He edited the Springer book ‘Learning in Non-Stationary Environments: Methods and Applications‘, in April 2012 and wrote two SpringerBriefs ‘Discrete Event Systems: Diagnosis and Diagnosability’, and ‘Learning from Data Streams in Dynamic Environments’. He was a guest editor of several special issues of international journals. He was IPC Chair of conference Chair of several international workshops and conferences (IEEE International Conference on Machine Learning and Applications IEEE International Conference on Evolving and Adaptive Intelligent Systems). He is working as a member of the Editorial Board of Elsevier Journal “Applied Soft Computing” and Springer Journals “Evolving systems” and “Intelligent Industrial Systems”.
Bibliographic Information
Book Title: Fault Diagnosis of Hybrid Dynamic and Complex Systems
Editors: Moamar Sayed-Mouchaweh
DOI: https://doi.org/10.1007/978-3-319-74014-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-74013-3Published: 06 April 2018
Softcover ISBN: 978-3-030-08901-6Published: 03 January 2019
eBook ISBN: 978-3-319-74014-0Published: 27 March 2018
Edition Number: 1
Number of Pages: VIII, 286
Number of Illustrations: 38 b/w illustrations, 59 illustrations in colour
Topics: Communications Engineering, Networks, Quality Control, Reliability, Safety and Risk, Control and Systems Theory, Computational Intelligence, Information Systems and Communication Service