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Fault Diagnosis of Hybrid Dynamic and Complex Systems

  • Moamar Sayed-Mouchaweh

Table of contents

  1. Front Matter
    Pages i-viii
  2. Moamar Sayed-Mouchaweh
    Pages 1-14
  3. Choiru Za’in, Mahardhika Pratama, Mukesh Prasad, Deepak Puthal, Chee Peng Lim, Manjeevan Seera
    Pages 15-44
  4. Nelly Olivier-Maget, Gilles Hetreux
    Pages 101-121
  5. Carlos J. Alonso-González, Belarmino Pulido, Anibal Bregon
    Pages 123-152
  6. E. P. Nadeer, S. Mukhopadhyay, A. Patra
    Pages 153-178
  7. Matthew J. Daigle, Anibal Bregon, Indranil Roychoudhury
    Pages 179-207
  8. Quentin Gaudel, Elodie Chanthery, Pauline Ribot, Matthew J. Daigle
    Pages 209-241
  9. Ramon Sarrate, Vicenç Puig, Louise Travé-Massuyès
    Pages 243-278
  10. Back Matter
    Pages 279-286

About this book

Introduction

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.

  • 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.

Keywords

Fault Detection Fault Diagnosis Fault Prognostics Fault Forecasting Online fault diagnosis

Editors and affiliations

  • Moamar Sayed-Mouchaweh
    • 1
  1. 1.Institute Mines-Telecom Lille DouaiDouaiFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-74014-0
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-74013-3
  • Online ISBN 978-3-319-74014-0
  • Buy this book on publisher's site