• DocumentCode
    406676
  • Title

    Detection and classification of faults affecting maneuverability of underwater vehicles

  • Author

    Beale, Guy O. ; Kim, Joseph H.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA, USA
  • Volume
    1
  • fYear
    2003
  • fDate
    2-6 Nov. 2003
  • Firstpage
    261
  • 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; principal component analysis; statistics; underwater vehicles; PCA; fault classification; fault detection; fisher discriminant analysis; hotelling T2 statistic; principal component analysis; underwater vehicles; Automotive engineering; Electrical fault detection; Fault detection; Principal component analysis; Reliability engineering; Statistical analysis; Statistics; Underwater tracking; Underwater vehicles; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE
  • Print_ISBN
    0-7803-7906-3
  • Type

    conf

  • DOI
    10.1109/IECON.2003.1279990
  • Filename
    1279990
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=406676