Mechanical drive type decision model based on support vector machine

  • Hua Li Sun
  • , Jian Ying Xie*
  • , Yao Feng Xue
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The characteristics of the mechanical drive system and the rules of the type choice were analyzed. A fuzzy and quantitative method describing the characters of the drive system was presented. A drive type decision system based on one-against-one mode of support vector machine through identification of the characteristics and the type decisions was built. Simulation was given to support the theoretical result.

Original languageEnglish
Pages (from-to)975-978
Number of pages4
JournalShanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University
Volume39
Issue number6
StatePublished - Jun 2005
Externally publishedYes

Keywords

  • Characteristic factors
  • Fuzzy membership function
  • Mechanical drive system
  • Modeling
  • Support vector machine (SVM)

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