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Herausgeber: 
  • Moamar Sayed-Mouchaweh
  • Fault Diagnosis of Hybrid Dynamic and Complex Systems 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht
     
    Lieferstatus:   i.d.R. innert 4-7 Tagen versandfertig
    Veröffentlichung:  April 2018  
    Genre:  Naturwissensch., Medizin, Technik 
    ISBN:  9783319740133 
    EAN-Code: 
    9783319740133 
    Verlag:  Springer-Verlag GmbH 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 241 mm / B 159 mm / D 25 mm 
    Gewicht:  600 gr 
    Seiten:  286 
    Illustration:  39 schwarz-weiße und 56 farbige Abbildungen, 65 farbige Tabellen, Bibliographie 
    Zus. Info:  Book 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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 severe and result in human casualties, environmentally harmful emissions, high repair costs, and economical losses caused by unexpected stops in production lines. The majority of real systems are hybrid dynamic systems (HDS). In HDS, the dynamical behaviors evolve continuously with time according to the discrete mode (configuration) in which the system is. Consequently, fault diagnosis approaches must take into account both discrete and continuous dynamics as well as the interactions between them in order to perform correct fault diagnosis. This book presents recent and advanced approaches and techniques that address the complex problem of fault diagnosis of hybrid dynamic and complex systems using different model-based and data-driven approaches in different application domains (inductor motors, chemical process formed by tanks, reactors and valves, ignition engine, sewer networks, mobile robots, planetary rover prototype etc.). These approaches cover the different aspects of performing single/multiple online/offline parametric/discrete abrupt/tear and wear fault diagnosis in incremental/non-incremental manner, using different modeling tools (hybrid automata, hybrid Petri nets, hybrid bond graphs, extended Kalman filter etc.) for different classes of hybrid dynamic and complex systems.

      



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