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1)  empirical mode decomposition
EMD
1.
As a signal analysis method,both empirical mode decomposition and autoregresslve spectrum are introduced.
EMD是一种适用于非线性、非平稳信号的自适应分析方法,故障信号经EMD分解后,提取对故障敏感的分量作自回归谱分析,可以得到高信噪比的特征量。
2.
The end effect is a key shortcoming of the Empirical Mode Decomposition.
在应用经验模态分解(EMD)处理数据的时候,端点效应成为影响该方法精度的主要因素,即在“筛”的过程中上下包络在数据序列的两端会出现发散现象。
3.
The multi-timescales analysis method — Empirical mode decomposition (EMD) is used to diagnose global mean temperature variation and atmospheric content of CO2 during 1881~2002.
经验模态分解方法(EmpiricalModeDecomposition,EMD),可以把不同周期的波动或趋势逐级分解开来,产生一系列具有不同特征尺度的序列称为本征模函数(intrinsicmodefunction,IMF)。
2)  Empirical Mode Decomposition(EMD)
EMD
1.
In this paper,a freight car rolling element bearings fault diagnosis method based on Empirical Mode Decomposition(EMD) and adaptive short_time Fourier transform(STFT) is proposed.
提出了一种结合经验模态分解(EMD)和自适应短时傅里叶变换(STFT)的铁路货车滚动轴承故障诊断方法。
2.
The Empirical Mode Decomposition(EMD) method was used for the first time to make a comparative analysis on the correlation between the net increase of grain and that of the population in Hebei province.
EMD方法首次对河北省的人口净增量与粮食净增量关系进行比较分析。
3.
In order to improve the signal-to-noise of the pulsar signal,an algorithm of pulsar signal de-noising based on Empirical Mode Decomposition(EMD) is proposed.
为了提高脉冲星辐射信号的信噪比,提出了一种基于经验模态分解(EMD)的脉冲星信号去噪算法。
3)  empirical mode decomposition method
EMD法
4)  Empirical Mode Decomposition
EMD分解
1.
A fault diagnosis approach for main drive system of rolling mill based on EMD (Empirical Mode Decomposition) and fracta1 dimension was proposed.
提出了一种基于EMD分解和分形维数的轧机主传动系统故障诊断方法。
2.
Empirical Mode Decomposition(EMD) is highly adapted to deal with nonlinear and non-stationary course.
EMD分解得到的各个内禀模态函数(Intrinsic Mode Function,IMF)建立AR模型,可以实现非平稳、非线性过程的模型参数估计,能够有效的对滚动轴承故障进行诊断。
3.
First,the intrinsic mode function(IMF) of the signal was extracted via the empirical mode decomposition(EMD).
利用EMD分解提取信号的固有模态函数(IMF),再结合Hilbert变换,求解瞬时频率,进而得到信号的Hilbert-Huang时频谱及边际谱,从而提取扭振信号瞬态特征。
5)  EMD industry
EMD产业
6)  EMD method
EMD方法
1.
The results show that EMD method can decompose a complex non-stationary signal into several intrinsic mode functions(IMFs) reflecting the intrinsic characteristics of the signal,frequency components of the sound signal can be obtained based on the spectrum of IMFs,and the identification of coal and rock .
EMD方法能把1个复杂的非平稳信号分解为有限个固有模态函数分量(In-trinsic Mode Function,IMF)之和,分解出的各个IMF分量是平稳的,具有实际的物理意义。
2.
The rotor vibration signal is decomposed with EMD method into a number of intrinsic mode functions (IMFS), from which the initial feature vector matrixes are formed.
该方法首先用EMD方法分解转子系统的振动信号,得到若干个基本内禀模式函数(Intrinsic Mode Function,简称IMF),然后利用IMF分量形成初始特征向量矩阵,并对初始特征向量矩阵求奇异值熵,奇异值熵的大小反映了转子系统运行状态的差别,从而可以通过奇异值熵的大小判断转子系统的工作状态和故障类型。
3.
EMD method was used to decompose the rotor vibration signal into a number of intrinsic mode functions(IMFs).
在此基础上,采用EMD方法将转子振动信号进行分解,得到若干个几本模式分量,然后将包含主要故障信息的几个几本模式分量相加得到降噪后的转子振动信号,并求得降噪后的转子振动信号的分形维数。
补充资料:Emde reaction
分子式:
CAS号:

性质:季铵盐用钠汞齐处理,发生降解生成叔胺,称为埃姆德反应:这是对霍夫曼降解法的有价值地补充,某些环状胺不能用霍夫降解,却可以发生本反应。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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