• DocumentCode
    3029022
  • Title

    Health condition assessment method of longterm storage equipment based on matterelement theory

  • Author

    Liang Wang ; Weimin, L.V. ; Kenan Teng

  • Author_Institution
    7 Dept., Naval Aeronaut. Eng. Inst., Yantai, China
  • fYear
    2013
  • fDate
    20-22 Dec. 2013
  • Firstpage
    2799
  • Lastpage
    2802
  • Abstract
    Long-term storage equipment has the characteristics of “long-term storage, several tests, and single use”, so it is difficult to assess the health condition timely. Given that environmental factors affect health condition of this equipment greatly, an assessment method of environment impact on health condition based on matter-element theory is put forward. Health condition is divided into 5 grades: good, normal, medium, weak and sick. To reduce uncertainty in the process of assessing health condition, the extension AHP method is used to analyze index weights on the basis of determining evaluation element, classical extent and nodal extent. At last, an application analysis shows that the method is feasible and effective.
  • Keywords
    analytic hierarchy process; condition monitoring; defence industry; storage; AHP method; classical extent; environmental factors; evaluation element; health condition assessment method; index weights; long-term storage equipment; matter-element theory; nodal extent; Correlation; Environmental factors; Humidity; Indexes; Monitoring; Prognostics and health management; Support vector machines; Matter-element theory; environmental factors; health condition; long-term storage equipment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
  • Conference_Location
    Shengyang
  • Print_ISBN
    978-1-4799-2564-3
  • Type

    conf

  • DOI
    10.1109/MEC.2013.6885505
  • Filename
    6885505