The reason to mode mixing in the result of empirical mode decomposition is discussed in respect of the variation of extremum series.
讨论了由于间歇信号嵌入导致经验模式分解结果出现模态混叠的现象，指出极值点序列幅值突变是产生模态混叠的根本原因。
The EMD added Gauss white noise is proposed to avoid mode mixing of different time-scale IMF, and is applied in fault diagnosis for rotating machine.
为了避免经验模式分解(EMD)过程中不同时间尺度函数间的模式混叠，采用基于高斯白噪声加入的经验模式分解方法，并将之应用于旋转机械故障诊断中。
Aiming at the mode mixing problem caused by intermittency signal in the sifting process of empirical mode decomposition (EMD), a new solution is presented.
针对在经验模态分解(EMD)筛选过程中间断信号引起的模态混叠问题，提出了一种新的解决方法。
This method can effectively eliminate mode mixing of IMF and improve the quality of fault diagnosis through analyzing vibrating signal of rotating machine.
对实际旋转机械故障振动信号的分析结果表明，该方法能有效避免固有模式函数间模式混叠，提高故障诊断效果。
Aiming at the mode mixing problem caused by intermittency signal in the sifting process of empirical mode decomposition (EMD), a new solution is presented.
讨论了由于间歇信号嵌入导致经验模式分解结果出现模态混叠的现象，指出极值点序列幅值突变是产生模态混叠的根本原因。
Aiming at the mode mixing problem caused by intermittency signal in the sifting process of empirical mode decomposition (EMD), a new solution is presented.
讨论了由于间歇信号嵌入导致经验模式分解结果出现模态混叠的现象，指出极值点序列幅值突变是产生模态混叠的根本原因。
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