机床与液压
機床與液壓
궤상여액압
MACHINE TOOL & HYDRAULICS
2014年
23期
185-187
,共3页
最小熵解卷积%故障诊断%滚动轴承
最小熵解捲積%故障診斷%滾動軸承
최소적해권적%고장진단%곤동축승
Minimum entropy deconvolution%Fault diagnosis%Rolling element bearings
介绍了最小熵解卷积（ Minimum Entropy Deconvolution， MED）的原理和实现步骤，说明了参数选择方法。为有效抑制噪声，增强故障特征信息，提出MED结合包络自相关的方法。通过实验台信号验证了所述方法的有效性及优点。
介紹瞭最小熵解捲積（ Minimum Entropy Deconvolution， MED）的原理和實現步驟，說明瞭參數選擇方法。為有效抑製譟聲，增彊故障特徵信息，提齣MED結閤包絡自相關的方法。通過實驗檯信號驗證瞭所述方法的有效性及優點。
개소료최소적해권적（ Minimum Entropy Deconvolution， MED）적원리화실현보취，설명료삼수선택방법。위유효억제조성，증강고장특정신식，제출MED결합포락자상관적방법。통과실험태신호험증료소술방법적유효성급우점。
The principle and implementation steps of Minimum Entropy Deconvolution ( MED) are introduced. The parameter se?lection method was explained. In order to effectively reduce the noise and enhance the fault feature information, the method of MED combined with envelope autocorrelation was proposed. The effectiveness and advantages of the proposed method are proved through the experimental signals.
