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Application of Particle Swarm Optimization to Fault Condition Recognition Based on Kernel Principal Component Analysis

WEI Xiu-ye PAN Hong-xia HUANG Jin-ying WANG Fu-jie

国际设备工程与管理(英文版)2009,Vol.14Issue(3):129-135,7.
国际设备工程与管理(英文版)2009,Vol.14Issue(3):129-135,7.

Application of Particle Swarm Optimization to Fault Condition Recognition Based on Kernel Principal Component Analysis

Application of Particle Swarm Optimization to Fault Condition Recognition Based on Kernel Principal Component Analysis

WEI Xiu-ye 1PAN Hong-xia 1HUANG Jin-ying 1WANG Fu-jie1

作者信息

  • 1. College of Mechanical Engineering and Automation,North University of China,Taiyuan 030051,P.R.China
  • 折叠

摘要

关键词

particle swarm optimization/kernel principal component analysis/kernel function parameter/feature extraction/gearbox condition recognition

Key words

particle swarm optimization/kernel principal component analysis/kernel function parameter/feature extraction/gearbox condition recognition

引用本文复制引用

WEI Xiu-ye,PAN Hong-xia,HUANG Jin-ying,WANG Fu-jie..Application of Particle Swarm Optimization to Fault Condition Recognition Based on Kernel Principal Component Analysis[J].国际设备工程与管理(英文版),2009,14(3):129-135,7.

基金项目

This paper is supported by National Natural Science Foundation under Grant No.50875247 and Shanxi Province Natural Science Foundation under Grant No.2009011026-1. ()

国际设备工程与管理(英文版)

1007-4546

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