• DocumentCode
    2861336
  • Title

    Data Fusion in Supportability Assessment of Aeronautic Electron Systems

  • Author

    Su, Q.Y. ; Wang, Q. ; Yan, S.W. ; Yin, J.N.

  • Author_Institution
    Sch. of Eng., Air Force Eng. Univ., Xi´´an
  • fYear
    2006
  • fDate
    24-26 May 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Supportability assessment is an important job in systems life cycle and it is a certification of the working effect of integrated logistics support (ILS). But in supportability assessment of systems such as aeronautic electron equipment, there are such problems as the redundancy of information, an unnecessarily wide range of time and space scope, and a lack of accuracy. With the first ever introduction of data fusion in supportability assessment and an analysis of the suitability of data fusion in supportability assessment, this paper researches into the rules and fusion models of data fusion in supportability assessment and puts forward a brand-new strategy model of supportability data fusion. So, this paper has practical value in improving the accuracy of supportability assessment results of aeronautic electron systems and in enhancing the development of supportability assessment
  • Keywords
    avionics; logistics; sensor fusion; aeronautic electron systems; data fusion; information redundancy; integrated logistics support; supportability assessment; systems life cycle; Data engineering; Design engineering; Electrons; Employment; Information processing; Life testing; Logistics; Maintenance; Production systems; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2006 1ST IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    0-7803-9513-1
  • Electronic_ISBN
    0-7803-9514-X
  • Type

    conf

  • DOI
    10.1109/ICIEA.2006.257289
  • Filename
    4025890