Advanced Solutions in Diagnostics and Fault Tolerant Control

  • Jan M. Kościelny
  • Michał Syfert
  • Anna Sztyber
Conference proceedings DPS 2017

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 635)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Diagnostic and Intelligent Control Systems

    1. Front Matter
      Pages 1-1
    2. Marcin Pazera, Kamil Klimkowicz, Beata Wrzesińska, Marcin Witczak
      Pages 33-44
    3. Dušan Krokavec, Anna Filasová
      Pages 57-69
    4. Mariusz Buciakowski, Marcin Pazera, Marcin Witczak
      Pages 82-93
    5. Michał Syfert, Jan Maciej Kościelny, Michał Bartyś
      Pages 143-154
  3. Advanced Signal Processing, Computing, and System Identification

    1. Front Matter
      Pages 155-155
    2. Krzysztof Jaroś, Anna Witkowska, Roman Śmierzchalski
      Pages 157-168
    3. Zdzisław Kowalczuk, Tomasz Białaszewski
      Pages 203-214

About these proceedings

Introduction

This book highlights the latest achievements concerning the theory, methods and practice of fault diagnostics, fault tolerant systems and cyber safety. When considering the diagnostics of industrial processes and systems, increasingly important safety issues cannot be ignored. In this context, diagnostics plays a crucial role as a primary measure of the improvement of the overall system safety integrity level. Obtaining the desired diagnostic coverage or providing an appropriate level of inviolability of the integrity of a system is now practically inconceivable without the use of fault detection and isolation methods.

Given the breadth and depth of its coverage, the book will be of interest to researchers faced with the challenge of designing technical and medical diagnosis systems, as well as junior researchers and students in the fields of automatic control, robotics, computer science and artificial intelligence.


Keywords

Diagnostics of Processes and Systems Fault Modeling and Simulation Fault Detection, Isolation and Identification Fault Tolerant Control Systems Industrial Applications

Editors and affiliations

  • Jan M. Kościelny
    • 1
  • Michał Syfert
    • 2
  • Anna Sztyber
    • 3
  1. 1.Faculty of Mechatronics, Institute of Automatic Control and RoboticsWarsaw University of TechnologyWarsawPoland
  2. 2.Faculty of Mechatronics, Institute of Automatic Control and RoboticsWarsaw University of TechnologyWarsawPoland
  3. 3.Faculty of Mechatronics, Institute of Automatic Control and RoboticsWarsaw University of TechnologyWarsawPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-64474-5
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-64473-8
  • Online ISBN 978-3-319-64474-5
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365
  • About this book