• DocumentCode
    1592633
  • Title

    Tank gun recoil mechanism technical condition assessment based on improved kernel function SVM

  • Author

    Su Zhongting ; Zhenjun, Yang ; Xuexin, Zhang

  • Author_Institution
    Acad. of Armored Force Eng., Beijing, China
  • Volume
    4
  • fYear
    2011
  • Firstpage
    361
  • Lastpage
    363
  • Abstract
    Recoil mechanism technical condition assessment is the presupposition of outfit using and servicing. This paper import support vector machine and upbuild recoil mechanism technical condition assessment model based on analyzing and dealing with recoil and counterrecoil parameter by dint of artificial recoiling on-line test equipment. The optimizing of assessment model using combined kernel function improved the preciseness. Instance analysis indicated that the pattern recognition method based on improved kernel function support vector machine is effective for evaluating recoil mechanism technical condition.
  • Keywords
    military vehicles; pattern recognition; support vector machines; artificial recoiling; assessment model; counterrecoil parameter; improved kernel function SVM; instance analysis; online test equipment; pattern recognition; support vector machine; tank gun recoil mechanism; technical condition assessment; Aggregates; Correlation; Kernel; Resistance; Support vector machines; Testing; Training; improved kernel function; recoil mechanism; support vector machine; technical condition assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments (ICEMI), 2011 10th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8158-3
  • Type

    conf

  • DOI
    10.1109/ICEMI.2011.6038016
  • Filename
    6038016