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Fault Diagnosis of Nonlinear Systems Using a Hybrid Approach

  • Ehsan Sobhani-Tehrani
  • Khashayar Khorasani

Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 383)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Ehsan Sobhani-Tehrani, Khashayar Khorasani
    Pages 1-19
  3. Ehsan Sobhani-Tehrani, Khashayar Khorasani
    Pages 21-49
  4. Ehsan Sobhani-Tehrani, Khashayar Khorasani
    Pages 51-70
  5. Ehsan Sobhani-Tehrani, Khashayar Khorasani
    Pages 71-97
  6. Ehsan Sobhani-Tehrani, Khashayar Khorasani
    Pages 99-217
  7. Ehsan Sobhani-Tehrani, Khashayar Khorasani
    Pages 219-223
  8. Back Matter
    Pages 225-265

About this book

Introduction

There is an increasing demand for man-made dynamical systems to operate autonomously in the presence of faults and failures in sensors, actuators or components. Fault diagnosis and health monitoring are essential components of an autonomous system. Hence, a high demand exists for the development of intelligent systems that are able to autonomously detect the presence and isolate the location of faults occurring in different components of complex dynamical systems. Fault Diagnosis of Nonlinear Systems Using A Hybrid Approach focuses on developing a fault diagnosis methodology that enables on-line health monitoring of nonlinear systems and off-line monitoring purposes.

 

 

Keywords

Approximation Nonlinear system autonomous system development dynamical systems fault diagnosis hybrid approach nonlinear systems system

Authors and affiliations

  • Ehsan Sobhani-Tehrani
    • 1
  • Khashayar Khorasani
    • 2
  1. 1.GlobVision, Inc.St. LaurentCanada
  2. 2.Dept. Electrical & Computer EngineeringConcordia UniversityMontrealCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-92907-1
  • Copyright Information Springer-Verlag US 2009
  • Publisher Name Springer, Boston, MA
  • eBook Packages Engineering
  • Print ISBN 978-0-387-92906-4
  • Online ISBN 978-0-387-92907-1
  • Series Print ISSN 0170-8643
  • Series Online ISSN 1610-7411
  • Buy this book on publisher's site