Application research on condition monitoring of power-shift steering transmission with hypersphere support vector machine

Yuan Zhu*, Yingfeng Zhang, Bo Li, Biao Ma

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The hypersphere support vector machine is an efficient method to distinguish the state of mechanism. The state of Power-Shift Steering Transmission(PSST) is studied using hypersphere support vector machine and Principal Component Analysis(PCA) with spectrometric oil analysis data. The fundamental of hypersphere support vector machine and PCA is researched. The influence of model parameters for performance of hypersphere support vector machine is analyzed. On the basis of training samples, the calculation and analysis of test samples are done. It has been proved that hypersphere support vector machine is suitable to judge the state of PSST. Moreover, the performance of hypersphere support vector machine can be improved greatly if abnormal samples are taken into account.

Original languageEnglish
Title of host publication2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Pages6394-6397
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 8th World Congress on Intelligent Control and Automation, WCICA 2010 - Jinan, China
Duration: 7 Jul 20109 Jul 2010

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Country/TerritoryChina
CityJinan
Period7/07/109/07/10

Keywords

  • Condition monitoring
  • Hypersphere support vector machine
  • Power-shift steering transmission (PSST)

Fingerprint

Dive into the research topics of 'Application research on condition monitoring of power-shift steering transmission with hypersphere support vector machine'. Together they form a unique fingerprint.

Cite this