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粒子滤波在含噪齿轮箱故障盲源分离中的应用

刘晓平 郑海起 祝天宇

中国机械工程2011,Vol.22Issue(15):1853-1857,5.
中国机械工程2011,Vol.22Issue(15):1853-1857,5.

粒子滤波在含噪齿轮箱故障盲源分离中的应用

Application of Particle Filter in Blind Source Separation of Gearbox Fault under Complex Noise Environment

刘晓平 1郑海起 1祝天宇2

作者信息

  • 1. 军械工程学院,石家庄050003
  • 2. 武汉军械士官学校,武汉430075
  • 折叠

摘要

Abstract

In gearbox fault diagnosis,the signals collected by sensors were suffered generally by the disturbance from various types of unknown noises.Under the complex noise environments,the blind source separation of the gearbox faults can not obtain perfect results of separation.In order to solve this problem,a new noisy blind source separation method of gearbox faults was proposed based on particle filter.A denoising process to the observation signals was implemented using Rao-blackwellised particle filter before the independent component analysis.The simulation and experimental results show that the proposed method is effective.

关键词

故障诊断/盲源分离/粒子滤波/降噪

Key words

fault diagnosis/blind source separation/particle filter/denoise

分类

机械制造

引用本文复制引用

刘晓平,郑海起,祝天宇..粒子滤波在含噪齿轮箱故障盲源分离中的应用[J].中国机械工程,2011,22(15):1853-1857,5.

基金项目

国家自然科学基金资助项目(50775219) ()

中国机械工程

OA北大核心CSCDCSTPCD

1004-132X

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