计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2015年
10期
205-210
,共6页
经验模态分解(EMD)%信号降噪%小波阈值%固有模态函数(IMF)
經驗模態分解(EMD)%信號降譟%小波閾值%固有模態函數(IMF)
경험모태분해(EMD)%신호강조%소파역치%고유모태함수(IMF)
Empirical Mode Decomposition(EMD)%signal denoising%wavelet thresholding%Intrinsic Mode Function(IMF)
针对随机噪声信号影响对有用信息的获取，提出了EMD分解阈值去噪方法，将小波阈值去噪原理应用于经验模态分解（Empirical Mode Decomposition，EMD）中。首先对实际含噪信号进行EMD分解，根据分解后得到的内蕴模态函数（Intrinsic Mode Function，简称IMF分量），采用自适应阈值去噪，进行信号重构，得到消噪后的信号，获取有用信息。将该方法应用于实际工程故障振动信号中分析研究表明，该方法可以获得较高的信噪比，能够对实际信号进行有效的故障特征频率提取，降噪后比降噪前的诊断效果更明显。
針對隨機譟聲信號影響對有用信息的穫取，提齣瞭EMD分解閾值去譟方法，將小波閾值去譟原理應用于經驗模態分解（Empirical Mode Decomposition，EMD）中。首先對實際含譟信號進行EMD分解，根據分解後得到的內蘊模態函數（Intrinsic Mode Function，簡稱IMF分量），採用自適應閾值去譟，進行信號重構，得到消譟後的信號，穫取有用信息。將該方法應用于實際工程故障振動信號中分析研究錶明，該方法可以穫得較高的信譟比，能夠對實際信號進行有效的故障特徵頻率提取，降譟後比降譟前的診斷效果更明顯。
침대수궤조성신호영향대유용신식적획취，제출료EMD분해역치거조방법，장소파역치거조원리응용우경험모태분해（Empirical Mode Decomposition，EMD）중。수선대실제함조신호진행EMD분해，근거분해후득도적내온모태함수（Intrinsic Mode Function，간칭IMF분량），채용자괄응역치거조，진행신호중구，득도소조후적신호，획취유용신식。장해방법응용우실제공정고장진동신호중분석연구표명，해방법가이획득교고적신조비，능구대실제신호진행유효적고장특정빈솔제취，강조후비강조전적진단효과경명현。
Caused by random noise signals in the analysis of actual signal interference, and influence to obtain useful information seriously, in this paper, the wavelet threshold denoising principle is applied to the Empirical Mode Decompo-sition(EMD), the EMD threshold denoising method is proposed. Firstly to actual noise signal EMD, according to the decomposition after each Intrinsic Mode Function(IMF)adopts adaptive threshold denoising, then reconstructs signal and gets after de-noising of the signal, then carries on the analysis to obtain useful information. Finally the method and the traditional denoising method is applied to practical engineering fault vibration signal analysis in the comparative study shows that the method of denoising performance is superior, can be obtained the higher signal-to-noise power ratio and the actual signal extraction of fault feature frequency effectively, after de-noising diagnosis effect is obvious.
