• DocumentCode
    3437580
  • Title

    Maintenance time estimation method in the design phase based on fuzzy v-support vector machine

  • Author

    Xu Luo ; Yongmin Yang ; Zhexue Ge ; Fengjiao Guan

  • Author_Institution
    Sci. & Technol. on Integrated Logistics Support Lab., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2013
  • fDate
    15-18 July 2013
  • Firstpage
    649
  • Lastpage
    653
  • Abstract
    This paper presents a new estimation method of maintenance time in the design phase based on fuzzy v-support vector machine (Fv-SVM), considering the problems of finite samples and uncertain data in the maintenance time estimation. The maintenance task of product is first decomposed into many elementary maintenance activities. The influence of design factors on product maintenance time is analyzed, and the important design factors which influence the time of single maintenance operation are determined. Then, the design factors are quantified by triangular fuzzy numbers, and a time estimation method of maintenance operation based on Fv-SVM is proposed. The results of the application in maintenance time estimation confirm the feasibility and the validity of the estimation method.
  • Keywords
    fuzzy set theory; maintenance engineering; product design; production engineering computing; support vector machines; Fv-SVM; design factors; design phase; elementary maintenance activities; finite samples; fuzzy v-support vector machine; maintenance operation; maintenance time estimation method; product maintenance task; triangular fuzzy numbers; uncertain data; Assembly; Estimation; Kernel; Maintenance engineering; Neural networks; Safety; Support vector machines; fuzzy support vector; maintainability; maintenance time estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-1014-4
  • Type

    conf

  • DOI
    10.1109/QR2MSE.2013.6625662
  • Filename
    6625662