• DocumentCode
    3548838
  • Title

    Residual Generation from Principal Component Models for Fault Diagnosis in Linear Systems - Part II: Extension to Optimal Residuals and Dynamic Systems

  • Author

    Gertler, Janos

  • Author_Institution
    Sch. of Inf. Technol., George Mason Univ., Fairfax, VA
  • fYear
    2005
  • fDate
    27-29 June 2005
  • Firstpage
    634
  • Lastpage
    639
  • Abstract
    The generation of enhanced (structured) residuals from PC models, both by algebraic transformation and by direct structured modeling, was reviewed in Part I of this paper. In Part II, some recent results on residual optimization are included. Extensions to dynamic systems are discussed. The new concept of dynamic redundancy is introduced, followed by an algorithm to simultaneously estimate the system order and the number of linear relations. The generation of enhanced (and optimized) residuals is revisited in the dynamic framework and explained in the light of dynamic redundancy. A simple example is given to illustrate the new concepts
  • Keywords
    fault diagnosis; linear systems; principal component analysis; redundancy; dynamic redundancy; dynamic systems; fault diagnosis; linear system; optimal residuals; principal component analysis; residual generation; structured residuals; Constraint optimization; Fault diagnosis; Information technology; Linear systems; Modeling; Performance analysis; Principal component analysis; Redundancy; System identification; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
  • Conference_Location
    Limassol
  • ISSN
    2158-9860
  • Print_ISBN
    0-7803-8936-0
  • Type

    conf

  • DOI
    10.1109/.2005.1467088
  • Filename
    1467088