1)Empirical Mode DecompositionEMD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.对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。
英文短句/例句
1.Research on empirical mode decomposition based on spectrum entropy methods and principal component analysis谱熵和主成分分析用于EMD分解研究
2.Digital Image Compression Based on 2-D Empirical Mode Decomposition基于二维EMD分解的数字图像压缩研究
3.Based on EMD Decomposition of Gearbox Fault Diagnosis基于EMD分解的齿轮箱故障诊断研究
4.One New Scheme to Discriminate Inrush Current from Internal Fault of Power Transformer Based on EMD Decomposition基于EMD分解的变压器励磁涌流鉴别
5.The instantaneous frequency analysis of GPR data using empirical mode decomposition基于EMD分解的探地雷达信号瞬时频率分析
6.Fault Diagnosis for Rolling Bearing Based on EMD and Wavelet Packet基于EMD分解与小波包的滚动轴承故障诊断
7.Phase-Coded BPSK Signal Sequence Algorithm Based on EMD Decomposition基于EMD分解的BPSK信号编码序列识别算法
8.Research on minor rub-impact fault diagnosis methods based on EMD of vibro-acoustic signals基于声振信号EMD分解的轻微碰摩故障诊断方法研究
9.A Method for Identifying Gas-liquid Two Phase Flow Regimes Based on EMD Decomposition Using Conductance Fluctuation Signals and RBF Neural Network基于电导波动信号的EMD分解和RBF神经网络的气液两相流流型识别方法
10.A New Method of Tremor Diagnosis Based on Singular Value Decomposition of EMD基于EMD奇异值分解诊断震颤的新方法
11.EPMA of EMD electrolyzed by Cu cathode铜阴极电解的EMD的电子微探分析
12.A New Method of Processing the Boundary Problem in the Empirical Mode Decomposition(EMD)经验模态分解(EMD)中边界处理的新方法
13.An Application in Gear Incipient Failure Diagnosis Based on EMD Demodulation Method基于EMD解调方法的齿轮早期故障诊断
14.An improved empirical mode decomposition method for multicomponent signal represntation基于改进EMD方法的多分量信号分析
15.Research and Implementation of Heterogeneous Parallel Flow Classification Mechanism for EMD;EMD并行异构流分类机制研究与实现
16.Theroretical Study and Application of Time-Frequency Analysis Method Based on Empirical Mode Decomposition;EMD时频分析方法的理论研究与应用
17.Application and Research of EMD Analysis in Fault Diagnosis Systems;EMD分析在故障诊断中的应用与研究
18.EMD Analyses and Dynamics Predictions of Energy Supply and Demand in China;中国能源供需EMD分析及动力学预测
相关短句/例句
EMDEMD分解
1.A Method for Identifying Gas-liquid Two Phase Flow Regimes Based on EMD Decomposition Using Conductance Fluctuation Signals and RBF Neural Network基于电导波动信号的EMD分解和RBF神经网络的气液两相流流型识别方法
2.Both the technologyof Hilbertspectrum and EMD are considered in it.该算法打破了传统时频分析算法的局限性,结合EMD分解和Hilbert谱技术可以将复杂信号分解为有限个本征模函数(IMF),从而赋予了瞬时频率合理的物理意义,在通信、雷达、地震、语音识别等方面具有广泛的应用价值。
3.Based on the algorithm of Empirical Mode Decomposition(EMD),which can adaptively decompose the non-stationary signal,the pulse signals of typical patients with hypertension and normal persons are decomposed.在分析经验模态分解算法的基础上,利用其对非稳态信号分解的自适应性,对典型高血压病人和正常人脉搏信号进行了EMD分解,研究了脉搏信号各模态的能量特征,提出了模态能量商的概念。
3)orthogonal empirical mode decomposition正交EMD分解
4)empirical mode decomposition (EMD)经验模式分解(EMD)
1.A flow regime identification method, which is based on empirical mode decomposition (EMD) multi-scale information Renyi entropy and least squares support vector machine (LS-SVM), was put forward.提出一种基于经验模式分解(EMD)多尺度Renyi熵和最小二乘支持向量机(LS-SVM)的流型辨识方法。
5)EMD经验模态分解(EMD)
1.0 software with EMD method,the authors analyzed the intrinsic relationship between annual growth rate of energy consumption and GDP growth rate from 1954 to 2007,which reflected the dynamic relationship between the economic growth and energy consumption growth and provided a new research method for a long time sequence to study the dynamic changes.0软件,通过经验模态分解(EMD)方法对我国1954~2007年能源消费年增长速度、GDP增长速度进行分析,旨在系统说明我国经济增长与能源消费之间的内在关系,更能体现出经济增长同能源消费增长之间的动态关系,同时也为研究长时间序列的动态变化提供一个全新的研究方法。
6)empirical mode decomposition(EMD)经验模式分解(EMD)
1.A flow regime identification method,which is based on empirical mode decomposition(EMD) multi-scale information Renyi entropy and least squares support vector machine(LS-SVM),was put forward.提出一种基于经验模式分解(EMD)多尺度Renyi熵和最小二乘支持向量机(LS-SVM)的流型辨识方法。
2.The empirical mode decomposition(EMD) method is used to decompose the vibration signal into a number of intrinsic mode function(IMF) components and then the auto-regressive(AR) model of each IMF component is established.采用经验模式分解(EMD)方法对振动信号进行分解,得到固有模态函数(IMF),对每一个IMF分量分别建立AR模型,以模型的自回归参数和残差的方差作为特征向量,用支持向量机(SVM)进行分类,判断柴油机的工作状态和故障类型。
3.The empirical mode decomposition(EMD) of weak signals submerged in a heavy noise was conducted and a method of stochastic resonance(SR) used for noisy EMD was presented.研究了强噪声混合条件下微弱信号的经验模式分解(EMD)问题,提出了一种基于随机共振降噪的EMD分解方法。
延伸阅读
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