• DocumentCode
    469002
  • Title

    A novel gray clustering filtering algorithms for identifying the false alert in aircraft long-distance fault diagnosis

  • Author

    Geng, Hong

  • Author_Institution
    CAUC, Tianjin
  • Volume
    2
  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    862
  • Lastpage
    867
  • Abstract
    The fault report is downloaded from the aircraft with ACARS for the line maintenance. This is widely attended currently. But the false alert often occurs in the fault report and drop the maintenance efficiency Aimed at the problem, the gray clustering filtering algorithms is set up based on gray cluster and filter theory .The algorithms can identify the false alert in the fault report effectively.
  • Keywords
    aircraft maintenance; fault diagnosis; filtering theory; pattern clustering; aircraft long-distance fault diagnosis; false alert; gray clustering filtering algorithms; line maintenance; Aircraft; Algorithm design and analysis; Fault diagnosis; Filtering algorithms; Humidity; Notice of Violation; Pattern analysis; Pattern recognition; Temperature; Wavelet analysis; ACARS; false alert; filtering; gray Clustering; long-distance fault diagnosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1065-1
  • Electronic_ISBN
    978-1-4244-1066-8
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2007.4420790
  • Filename
    4420790