中国机械工程
中國機械工程
중국궤계공정
CHINA MECHANICAl ENGINEERING
2011年
15期
1853-1857
,共5页
故障诊断%盲源分离%粒子滤波%降噪
故障診斷%盲源分離%粒子濾波%降譟
고장진단%맹원분리%입자려파%강조
fault diagnosis%blind source separation%particle filter%denoise
在机械故障诊断中,传感器所获得的信号不可避免地受到各种未知噪声的干扰,针对这种复杂噪声环境下的机械信号盲源分离不能得到较好分离效果的问题,提出了一种将粒子滤波用于含噪信号盲分离的方法,首先利用Rao-blackwellised粒子滤波对观测信号进行降噪处理,然后再进行独立分量分析。仿真和实验结果表明该方法是有效的。
在機械故障診斷中,傳感器所穫得的信號不可避免地受到各種未知譟聲的榦擾,針對這種複雜譟聲環境下的機械信號盲源分離不能得到較好分離效果的問題,提齣瞭一種將粒子濾波用于含譟信號盲分離的方法,首先利用Rao-blackwellised粒子濾波對觀測信號進行降譟處理,然後再進行獨立分量分析。倣真和實驗結果錶明該方法是有效的。
재궤계고장진단중,전감기소획득적신호불가피면지수도각충미지조성적간우,침대저충복잡조성배경하적궤계신호맹원분리불능득도교호분리효과적문제,제출료일충장입자려파용우함조신호맹분리적방법,수선이용Rao-blackwellised입자려파대관측신호진행강조처리,연후재진행독립분량분석。방진화실험결과표명해방법시유효적。
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.
