桂林电子科技大学学报
桂林電子科技大學學報
계림전자과기대학학보
JOURNAL OF GUILIN UNIVERSITY OF ELECTRONIC TECHNOLOGY
2014年
5期
386-389
,共4页
现场三坐标测量机%EMD%IMF%滚动轴承%边际谱
現場三坐標測量機%EMD%IMF%滾動軸承%邊際譜
현장삼좌표측량궤%EMD%IMF%곤동축승%변제보
FCMM%EMD%IMF%rolling bearing%marginal spectrum
为了解决现场三坐标测量机(FCMM)在加工车间现场环境下由于振动、环境因素等干扰造成的输出带有较强背景噪声而可能导致滚动轴承发生故障的问题,提出一种基于经验模态分解(EMD)的 FCMM降噪和故障诊断方法,对 FCMM输出进行 EMD分解得出本征模态函数(IMF)分量,采用互相关系数准则法对 IMF 分量降噪重构,同时进行边际谱分析,从中提取故障特征频率。实验根据 FCMM速度参数测量数据,结合 Matlab 仿真方法,得到 FCMM输出速度数据的 IMF分量与原始速度数据之间的互相关系数表以及 IMF分量边际谱图。实验结果验证了 EMD方法滤波效果明显,故障分析手段可靠。
為瞭解決現場三坐標測量機(FCMM)在加工車間現場環境下由于振動、環境因素等榦擾造成的輸齣帶有較彊揹景譟聲而可能導緻滾動軸承髮生故障的問題,提齣一種基于經驗模態分解(EMD)的 FCMM降譟和故障診斷方法,對 FCMM輸齣進行 EMD分解得齣本徵模態函數(IMF)分量,採用互相關繫數準則法對 IMF 分量降譟重構,同時進行邊際譜分析,從中提取故障特徵頻率。實驗根據 FCMM速度參數測量數據,結閤 Matlab 倣真方法,得到 FCMM輸齣速度數據的 IMF分量與原始速度數據之間的互相關繫數錶以及 IMF分量邊際譜圖。實驗結果驗證瞭 EMD方法濾波效果明顯,故障分析手段可靠。
위료해결현장삼좌표측량궤(FCMM)재가공차간현장배경하유우진동、배경인소등간우조성적수출대유교강배경조성이가능도치곤동축승발생고장적문제,제출일충기우경험모태분해(EMD)적 FCMM강조화고장진단방법,대 FCMM수출진행 EMD분해득출본정모태함수(IMF)분량,채용호상관계수준칙법대 IMF 분량강조중구,동시진행변제보분석,종중제취고장특정빈솔。실험근거 FCMM속도삼수측량수거,결합 Matlab 방진방법,득도 FCMM수출속도수거적 IMF분량여원시속도수거지간적호상관계수표이급 IMF분량변제보도。실험결과험증료 EMD방법려파효과명현,고장분석수단가고。
In the field environment such as processing workshop,vibration and other field complex environmental interfer-ences make field coordinate measuring machine (FCMM)output with a strong background noise,and may result in FCMM rolling bearing failure.FCMM de-noising and diagnosis method based on empirical mode decomposition (EMD)is proposed. Intrinsic mode function (IMF)component is derived from FCMM output by using EMD,then IMF is reconstructed by com-paring cross-correlation,at the same time marginal spectrum analysis is used to extract fault characteristic frequency.Ac-cording to FCMM speed data,the table of cross-correlation between original speed data and IMF component and the map of marginal spectrum are obtainedt by Matlab simulation.The experimental results verify that EMD has obviously filtering effect and reliable failure analysis.