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5下载：
经验模态分析（EMD）的MATLAB计算算法，经验模态分析是机械振动分析领域的重要方法-Empirical mode decomposition (EMD) of the MATLAB computing method, empirical mode analysis is an important field of mechanical vibration analysis method
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小波包分析提取振动信号中的分解，系数重构特征频率，以及能量谱分析计算-Wavelet packet analysis to extract the vibration signal decomposition coefficient reconstruction of the characteristic frequency, and calculate the energy spectrum analysis
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HHT分解 功率谱绘制 波形分解及振动分析-HHT decomposition draw the waveform decomposition and power spectral analysis of vibration
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对振动信号进行的EMD分解程序，学习振动的同学可以-Of the vibration signal of EMD decomposition process, students can learn a good look at the vibration
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matlab 傅里叶展开 波形分解 振动分析-matlab Fourier decomposition on waveform
Vibration analysis
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用ANSYS对模态分析中的振型进行分解的一个算例-Example an ANSYS modal analysis of vibration mode decomposition
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基于matlab的小波包分解应用于机械振动信号的故障分析-Used in failure analysis of mechanical vibration signals based on the Matlab wavelet packet decomposition
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提出了将信号进行相空间重构后再采用奇异值分解, 对分解后的主成分进行包络分析, 从而提取信号的隐含特
征的方法, 并将该方法应用于齿轮的局部故障振动特征信号的提取中。数值仿真实验结果表明, 该方法能有效提取强背景
信号及噪声中的弱冲击特征信号, 是一种有效的弱信号特征提取方法。采用该方法对齿轮振动信号进行故障特征提取与识
别, 结果与实际情况相符。-Signal implicit characteristic of phase space reconstruction, and th
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测量6205深沟球轴承的故障振动加速度信号, 对信号进行时频分析, 利用经验模态分解方法将振动信号分解成不同特征时间尺度的固有模态函数,对每个固有模态函数进行Hilbert 变换得到Hilbert 谱,通过谱分析识别轴承的故障部位和类型, 证实Hilbert 谱的有效性-Measuring 6205 deep groove ball bearing fault vibration acceleration signal, the signal frequency analysis, empiri
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y=d2wavelet(x,Fs,level) does the 2nd order Daubechies Wavelet Transform of signal x with a sampling frequency Fs and the DWT is decomposition is done upto a level
It returns the matrix of all decompositions and the final approximations.
Instead
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一个小波包分解重构函数，用于振动信号的故障诊断-A wavelet packet decomposition and reconstruction functions for fault diagnosis of the vibration signal
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matlab程序 EMD分解，经本人测试非常好用，可用于振动信号分解，平稳或非平稳信号都可以。-EMD decomposition matlab program, after I test is very easy to use, can be used for vibration signal decomposition, stationary or non-stationary signal can be.
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对重分配小波尺度谱存在着时、频分辨率不能同时达到最佳及当振动信号中存在着能量较大的噪声时会降低其时频分布可读性的缺陷，提出一种基于参数优化和奇异值分解(SVD)提高重分配尺度谱时频分布可读性的方法。首先利用Shan—
non熵方法优化重分配尺度谱基函数的时间．带宽积(TBP)，克服其时、频分辨率不能同时达到最佳的缺陷，再对重分配尺度谱
进行SVD降噪降低噪声干扰影响，提高时频分布的可读性。最后用该方法对仿真信号和滚动轴承故障信号进行了分析，结果表明该方法的时频聚集性更好，抗噪能力更强，能
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The Empirical Mode Decomposition has become very populars in ceits first introduc
tion.Its suitability and expected performance for specific signal processing task is
however some what openended. Addressed are basic questions concerning the decom
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The HHT represents a time-dependent series in
a two-dimensional (2-D) time-frequency domain by extracting
instan eous frequency components within the signal through
an Empirical Mode Decomposition (EMD) process. The analytical
background of t
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This paper describes a method for detecting faults
in the tap selector by means of vibration measurements during tap
changer operation, using envelope analysis based on Hilbert transform
and wavelet decomposition. Different failures at the tap
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希尔伯特振动分解MATLAB代码，hilbert vibration decomposition MATLAB code
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matlab在振动信号处理中的应用。通过matlab编程语言将复杂的振动信号通过算法进行消噪，信号分解与重构。-The application of matlab in vibration signal processing.Through the matlab programming language to deal with the complex vibration signal, by using algorithmde to de-noising, signal decompositi
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针对信号处理方面，该例子实现了希尔伯特振动分解的，(For signal processing, this example implements the Hilbert vibration decomposition.)
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