• DocumentCode
    1280009
  • Title

    Data mining to predict aircraft component replacement

  • Author

    Létourneau, Sylvain ; Famili, Fazel ; Matwin, Stan

  • Author_Institution
    Inst. for Inf. Tech., Nat. Res. Council of Canada, Ottawa, Ont., Canada
  • Volume
    14
  • Issue
    6
  • fYear
    1999
  • Firstpage
    59
  • Lastpage
    66
  • Abstract
    Aircraft sensors generate vast amounts of data, much of which languishes in storage after its initial analysis. The authors have developed an approach for using this data to build models for predicting aircraft component failure. Their approach addresses several key data-mining issues
  • Keywords
    aerospace computing; data mining; aircraft component failure; aircraft component replacement; aircraft sensors; data mining; Aircraft manufacture; Biomedical equipment; Data analysis; Data mining; Labeling; Marine vehicles; Medical services; Predictive models; Sensor phenomena and characterization; Vents;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems and their Applications, IEEE
  • Publisher
    ieee
  • ISSN
    1094-7167
  • Type

    jour

  • DOI
    10.1109/5254.809569
  • Filename
    809569
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1280009