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Application of particle swarm optimization blind source separation technology in fault diagnosis of gearbox
  • ISSN号：1003-0794
  • 期刊名称：《煤矿机械》
  • 时间：0
  • 分类：TH132.41[机械工程—机械制造及自动化]
  • 作者机构：School of Mechanical Engineering and Automatization, North University of China, School of Aerospace Science and Technology, Beijing Institute of Technology, School of Electronic and Computer Science Technology, North University of China
  • 相关基金：Project(50875247) supported by the National Natural Science Foundation of China;Project(2007011070) supported by the Natural Science Foundation of Shanxi Province, China
作者： 黄晋英, 潘宏侠, 毕世华, 杨喜旺
关键词： PSO, BLIND, source, SEPARATION, FAULT, diagnosis, FAULT, information, ENHANCEMENT, GEARBOX, PSO blind source separation, fault diagnosis, fault information enhancement, gearbox
中文摘要：

Blind source separation (BBS) technology was applied to vibration signal processing of gearbox for separating different fault vibration sources and enhancing fault information. An improved BSS algorithm based on particle swarm optimization (PSO) was proposed. It can change the traditional fault-enhancing thought based on de-noising. And it can also solve the practical difficult problem of fault location and low fault diagnosis rate in early stage. It was applied to the vibration signal of gearbox under three working states. The result proves that the BSS greatly enhances fault information and supplies technological method for diagnosis of weak fault.

英文摘要：

Blind source separation (BBS) technology was applied to vibration signal processing of gearbox for separating different fault vibration sources and enhancing fault information. An improved BSS algorithm based on particle swarm optimization (PSO) was proposed. It can change the traditional fault-enhancing thought based on de-noising. And it can also solve the practical difficult problem of fault location and low fault diagnosis rate in early stage. It was applied to the vibration signal of gearbox under three working states. The result proves that the BSS greatly enhances fault information and supplies technological method for diagnosis of weak fault.

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期刊信息
  • 《煤矿机械》
  • 北大核心期刊（2011版）
  • 主管单位:黑龙江科技大学
  • 主办单位:哈尔滨煤矿机械研究所
  • 主编：卢盛春
  • 地址：哈尔滨市南岗区嵩山路111号
  • 邮编：150090
  • 邮箱：mkjx@chinajournal.net.cn
  • 电话：0451-55646587 55645994 55630208
  • 国际标准刊号：ISSN：1003-0794
  • 国内统一刊号：ISSN：23-1280/TD
  • 邮发代号:14-38
  • 获奖情况:
  • 全国中文核心期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国剑桥科学文摘,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2000版）
  • 被引量:28725