• DocumentCode
    3548837
  • Title

    Residual Generation from Principal Component Models for Fault Diagnosis in Linear Systems - Part I: Review of Static Systems

  • Author

    Gertler, Janos

  • Author_Institution
    Sch. of Inf. Technol., George Mason Univ., Fairfax, VA
  • fYear
    2005
  • fDate
    27-29 June 2005
  • Firstpage
    628
  • Lastpage
    633
  • Abstract
    First some fundamental concepts of principal component analysis are summarized. This is followed by the review of our recently developed and published results on the generation of enhanced (structured) residuals from PC models, both by algebraic transformation and by direct structured modeling. Recent results on residual optimization and extensions to dynamic systems are discussed in Part II of the paper
  • Keywords
    fault diagnosis; linear systems; principal component analysis; reliability theory; fault diagnosis; linear systems; principal component analysis; residual generation; static systems; Chemical processes; Equations; Fault detection; Fault diagnosis; Linear systems; Mathematical model; Principal component analysis; Redundancy; System identification; Vectors;
  • 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/.2005.1467087
  • Filename
    1467087