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vmd
- 针对实际中工况复杂难以提取齿轮故障特征频率的问题，提出一种变分模态分解-(variational mode decomposition, VMD)
VMD
- 本文介绍了一种自适应信号分解新方法-变分模态分解，并且针对滚动轴承早期故障识别困难这一问题，提出了基于VMD的诊断方法。-In this paper, a new adaptive signal decomposition method, variational mode decomposition, is introduced. Aiming at the problem of early fault identification o
VMD-Parameter-Estimation
- 变分模态分解在信号分解精度和噪声鲁棒性方面具有明显优势，但需预先确定模态数K，而目前K 只能靠先验知识进行预估，如果预估的K 与实际信号存在差异，会导致分解误差较大。针对以上问题，利用EMD 不需预先设定模态数的自适应分解特点，通过对EMD 分解结果的分析，进行VMD 分解模态数的估计，并通过仿真信号分析及滚动轴承故障信息提取-Variational modal decomposition has obvious advantages
VMD
- 对故障信号进行去噪，自己调试的程序，带注释-The fault signal to denoise, debug their own procedures, with notes
VMD
- 可以实现滚动轴承的故障采集处理，变分模态分解法很强大(Rolling bearing fault acquisition and processing can be realized, and the variational modal decomposition method is very powerful)
VMD.tar
- 将一个信号分解为几个模态分量，并且不会产生模态混叠现象，对信号的分解很清晰，大量应用于故障诊断。(A signal is decomposed into several modal components, and it does not cause modal aliasing. The decomposition of signals is very clear and widely used in fault diagnosis.)
基于小波的VMD程序
- 将小波滤波方法与VMD算法结合，提取故障信息(Wavelet and VMD algorithm are combined to extract fault information)
myVMDtest
- 含有最新VMD算法，计算信号特征值，频谱分析，检测故障信息点(The latest VMD algorithm, the eigenvalue of the signal, the spectrum analysis, the detection of the fault information point)
基于VMD和Teager能量谱的滚动轴承故障特征提取
- 基于VMD和1_5维Teager能量谱的滚动轴承故障特征提取_向玲(To extract _ Ling fault features of rolling bearing VMD and 1_5 dimension Teager based on energy spectrum)
VMD
- VMD方法能够使一个多频带的故障信号，分解出具有单个频带的子信号，然后使用共振解调方法可实现故障信号的诊断。(The VMD method can make a multi band fault signal decompose the subsignal with a single frequency band, and then use the resonance demodulation method to realize the
VMD
- VMD方法是在传统维纳滤波的基础上，提出的一种非递归自适应信号分解新方法。与EMD方法和LMD方法相比，VMD方法分解的信号，具有精度高、收敛快和鲁棒性好等特点，适用于处理滚动轴承故障信号。(The VMD method is a new non recursive adaptive signal decomposition method based on traditional Wiener filtering. Compared w
rParabEmd__L
- 该程序对信号进行经验模式分解，可以用于故障信号处理，还可以与很对方法结合。如，排列熵，emd,vmd,等(This program performs the Empirical Mode Decomposition accordingly to the signal)
vmd
- 变分模态分解,用于分解各种信号，可用来故障诊断，特征提取。(Variational mode decomposition, used to decompose various signals, can be used for fault diagnosis and feature extraction.)
Kmeans故障聚类
- C语言做的聚类学习的旋转机械故障诊断，已经经过验证，可以作为参考。(C language clustering learning of rotating machinery fault diagnosis has been verified, and can be used as a reference.)
VMD
- 基于VMD的机车滚动轴承故障，变转速的测量(Measurement of Rolling Bearing Fault and Variable Speed of Locomotive Based on VMD)
VMD优化
- 基于VMD的机车滚动轴承故障，变转速的测量，VMD的优化(Measurement of Rolling Bearing Fault and Variable Speed of Locomotive Based on VMD)
vmd
- 轴承故障信号vmd分解及输出频谱图和幅值图，内含main、vmd及输出频谱图和幅值图三个程序，直接用main就行(VMD decomposition of bearing fault signal and output spectrum and amplitude diagram)
用于信号的EMD、EEMD、VMD分解
- 用于信号的分解、降噪和重构，实现故障诊断(Used for signal decomposition, noise reduction and reconstruction to realize fault diagnosis)
变分模态方法
- 变分模态分解方法能够使一个多频带的故障信号，分解出具有单个频带的子信号，然后使用共振解调方法可实现故障信号的诊断。(VMD method can decompose a multi band fault signal into a single band sub signal, and then use resonance demodulation method to realize fault signal diagnosis.)
VMD代码
- VMD代码，该程序对信号进行经验模式分解，可以用于故障信号处理，还可以与很对方法结合。如，排列熵，emd,vmd,等，包含VMD、EMD、EEMD工具箱，可用于变分模态分解、EMD以及EEMD谐波检测对对比分析(VMD code, the program for empirical mode decomposition of signals, can be used for fault signal processing, can al