机电工程技术
機電工程技術
궤전공정기술
MACHANICAL & ELECTRICAL ENGINEERING TECHNOLOGY
2015年
3期
1-5
,共5页
欧伟光%张春良%郭莹莹%朱厚耀
歐偉光%張春良%郭瑩瑩%硃厚耀
구위광%장춘량%곽형형%주후요
形态分量分析%希尔伯特变换%故障诊断%滚动轴承
形態分量分析%希爾伯特變換%故障診斷%滾動軸承
형태분량분석%희이백특변환%고장진단%곤동축승
morphological component analysis%Hilbert transform%fault diagnosis%rolling bearing
形态分量分析是一种基于信号形态多样性和信号稀疏表示的信号处理方法。滚动轴承故障信号具有振幅呈指数衰减与环境噪声大的特点。通过构建一个对冲击信号敏感的字典，利用形态分量分析对轴承故障信号的时域形态特征进行最优化稀疏表示，得到滚动轴承冲击信号。并对形态分量分析后的冲击信号进行希尔伯特变换，得到明确的故障特征频率及其倍频。仿真分析与实验结果表明：该方法具有良好的降噪功能，能够准确地提取滚动轴承故障信号中的早期冲击特征。
形態分量分析是一種基于信號形態多樣性和信號稀疏錶示的信號處理方法。滾動軸承故障信號具有振幅呈指數衰減與環境譟聲大的特點。通過構建一箇對遲擊信號敏感的字典，利用形態分量分析對軸承故障信號的時域形態特徵進行最優化稀疏錶示，得到滾動軸承遲擊信號。併對形態分量分析後的遲擊信號進行希爾伯特變換，得到明確的故障特徵頻率及其倍頻。倣真分析與實驗結果錶明：該方法具有良好的降譟功能，能夠準確地提取滾動軸承故障信號中的早期遲擊特徵。
형태분량분석시일충기우신호형태다양성화신호희소표시적신호처리방법。곤동축승고장신호구유진폭정지수쇠감여배경조성대적특점。통과구건일개대충격신호민감적자전，이용형태분량분석대축승고장신호적시역형태특정진행최우화희소표시，득도곤동축승충격신호。병대형태분량분석후적충격신호진행희이백특변환，득도명학적고장특정빈솔급기배빈。방진분석여실험결과표명：해방법구유량호적강조공능，능구준학지제취곤동축승고장신호중적조기충격특정。
Morphological component analysis is a signal processing method based on signal morphological diversity and sparse representation. Rolling bearing fault has the characteristics of exponential decay amplitude and strong environmental noise. By building a dictionary that is sensitive to the impulse signal, the morphological component analysis is used to obtain the optimal sparse representation of time-domain morphological characteristics and get the impulse signal of rolling bearing fault. The fault characteristic frequency and its frequency multiplication are proved to be specific obtained from the Hilbert transform results of impulse signal. The analysis results of simulating data and experimental data show that the proposed method has a good denoising effect and it can obtain the early impulse characteristics from rolling bearing damage signal accurately.
