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Fault Diagnosis of Hybrid Dynamic and Complex Systems - Moamar Sayed-Mouchaweh
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2018, ISBN: 331974013X

[EAN: 9783319740133], Neubuch, [SC: 0.0], [PU: Springer International Publishing, Springer International Publishing Apr 2018], DATENVERARBEITUNG; ELEKTRONIK / EDV; - ELEKTRONIKER; FERTIGU… Mehr…

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Herausgegeben:Sayed-Mouchaweh, Moamar:

Fault Diagnosis of Hybrid Dynamic and Complex Systems - gebunden oder broschiert

2018, ISBN: 9783319740133

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2018

ISBN: 331974013X

Online fault diagnosis is crucial to ensure safe operation of complex dynamic systems in spite of faults affecting the system behaviors. Consequences of the occurrence of faults can be se… Mehr…

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Online fault diagnosis is crucial to ensure safe operation of complex dynamic systems in spite of faults affecting the system behaviors. Consequences of the occurrence of faults can be se… Mehr…

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Details zum Buch

Detailangaben zum Buch - Fault Diagnosis of Hybrid Dynamic and Complex Systems


EAN (ISBN-13): 9783319740133
ISBN (ISBN-10): 331974013X
Gebundene Ausgabe
Erscheinungsjahr: 2018
Herausgeber: Springer International Publishing

Buch in der Datenbank seit 2018-03-28T19:03:21+02:00 (Berlin)
Buch zuletzt gefunden am 2025-06-28T15:09:05+02:00 (Berlin)
ISBN/EAN: 9783319740133

ISBN - alternative Schreibweisen:
3-319-74013-X, 978-3-319-74013-3
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: say, moucha, moa
Titel des Buches: hybrid, dynamic systems, complex systems


Daten vom Verlag:

Autor/in: Moamar Sayed-Mouchaweh
Titel: Fault Diagnosis of Hybrid Dynamic and Complex Systems
Verlag: Springer; Springer International Publishing
286 Seiten
Erscheinungsjahr: 2018-04-06
Cham; CH
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
VIII, 286 p. 97 illus., 59 illus. in color.

BB; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Nachrichtententechnik, Telekommunikation; Verstehen; Fault Detection; Fault Diagnosis; Fault Prognostics; Fault Forecasting; Online fault diagnosis; quality control, reliability, safety and risk; Communications Engineering, Networks; Security Science and Technology; Control and Systems Theory; Computational Intelligence; Computer Communication Networks; Sicherheitssysteme und Brandmeldeanlagen; Regelungstechnik; Künstliche Intelligenz; Netzwerk-Hardware; EA; BC

Prologue.- Motor Fault Detection and Diagnosis Based on Meta-cognitive Random Vector Functional Link Network.- Optimal Adaptive Threshold and Mode Fault Detection for Model-based Fault Diagnosis of Hybrid Dynamical Systems.- Diagnosing Hybrid Dynamical Systems using Max-Plus Algebraic Methods.- Monitoring of Hybrid Dynamic Systems: Application to Chemical Process.- Hybrid Bond-Graph Possible Conflicts for Hybrid Systems Fault Diagnosis.- Hybrid System Model based Fault Diagnosis of Automotive Engines.- Diagnosis of Hybrid Systems Using Structural Model Decomposition.- Diagnosis of Hybrid Systems Using Hybrid Particle Petri Nets: Theory and Application on a Planetary Rover.- Diagnosis of Hybrid Dynamic Systems based on the Behavior Automaton Abstraction.- Index.

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”.

Moamar Sayed-Mouchaweh
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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