• DocumentCode
    3270927
  • Title

    Fisher discriminant analysis and the T2 statistic for process fault detection and classification

  • Author

    Beale, Guy O. ; Kim, Joseph H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA, USA
  • Volume
    3
  • fYear
    2002
  • fDate
    5-8 Nov. 2002
  • Firstpage
    1995
  • Abstract
    This paper describes the application of Fisher discriminant analysis and the hotelling T2 statistic to the detection and classification of major failures that can occur in underwater vehicles. Simulation results are presented that demonstrate that rapid detection and reliable classification can be obtained with these methods.
  • Keywords
    fault diagnosis; neural nets; principal component analysis; underwater vehicles; Fisher discriminant analysis; controller reconfiguration; hotelling T2 statistic; maneuvering capabilities; principal component analysis; process fault classification; process fault detection; reconfigurable control; recursive neural network; underwater vehicles; Control systems; Electrical fault detection; Fault detection; Principal component analysis; Statistical analysis; Statistics; Time measurement; Underwater tracking; Underwater vehicles; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the]
  • Print_ISBN
    0-7803-7474-6
  • Type

    conf

  • DOI
    10.1109/IECON.2002.1185278
  • Filename
    1185278
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3270927