• DocumentCode
    2161092
  • Title

    QAR based data-cube mining algorithm

  • Author

    Hongjun, Heng ; Fangfang, Zhao

  • Author_Institution
    College of Computer Science and Technology, Civil Aviation University of China, Tianjin, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    5235
  • Lastpage
    5238
  • Abstract
    The QAR (Quick Access Recorder) records immense amounts of aircraft flight data which reflect the performance of every parts of aircraft. This paper describes the importance of analyzing QAR data in flight safety. We proposed a novel data-cube based method to process a large number of QAR data and extracts association rules about the parameters of aircraft engine which is useful for engine diagnostics and health management.
  • Keywords
    Aircraft; Aircraft propulsion; Association rules; Computer science; Educational institutions; Engines; QAR; aircraft safty; association rules; data cube; data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5691750
  • Filename
    5691750
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2161092