搜索资源列表
VMD_test
- 进行VMD的分解，可以吧里面的输入信号改成你自己的(Do the decomposition of the VMD. Let's change the input signal into your own.)
pyVMD_any
- 变分模态分解的python版本，个人根据MATLAB版本译制而成(Python version of variational mode decomposition)
VMD_2D
- 变分模态分解，VMD二维算法及测试示例，用来分解二维图像数据(Decomposition of two-dimensional image data)
Codes of the VNCMD
- VNCMD分解源程序，未做更改，VMD的拓展研究参考(Source Code for VNCMD)
VMD
- 信号处理中的一种新方法，具有分量分解提取功能(A new method in signal processing, which has the function of component decomposition and extraction.)
VMD_test
- 一种分解精度高、模态混叠问题少的VMD特征提取算法，进行振动信号分解,形成初始特征向量矩阵(A VMD feature extraction algorithm with high decomposition accuracy and few modal aliasing problems is used to decompose the vibration signal and form the initial eigenvector
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.)
宋-3-VMD数据
- 对二维数据进行变分模态分解，可用于地震数据去噪等(Variational mode decomposition of two-dimensional data can be used for seismic data denoising, etc.)
pso-vmd
- 提供 基于粒子群算法优化的变分模态分解算法，适应度函数选择的是模糊熵(This paper presents a variational mode decomposition algorithm based on particle swarm optimization, and the selection of fitness function is fuzzy entropy)
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)
优化K值
- 分解信号,能量差值优化K，峭度，样本熵，排列熵(Decomposition of signal, optimization of energy difference value K, kurtosis, sample entropy, permutation entropy)
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+BNN
- 长短时记忆网络，风速预测，LSTM,神经网络(WIND PREDICTION,lstm,long and short)
灰狼GWOVMD
- 算法是基于灰狼优化算法GWO优化VMD，可以大大提高VMD的分类准确率，提高优化时间。(This algorithm is based on GWO optimization VMD, which can greatly improve VMD classification accuracy and optimization time.)
鸡群CSOSVM
- 本算法是基于鸡群优化算法CSO优化SVM，可以大大提高VMD的分类准确率，提高优化时间。(This algorithm is based on CSO to optimize SVM, which can greatly improve the classification accuracy of VMD and improve the optimization time.)
蝙蝠BASVM
- 本算法是基于蝙蝠优化算法BA优化SVM，可以大大提高VMD的分类准确率，提高优化时间。(This algorithm is based on bat optimization algorithm BA to optimize SVM, which can greatly improve the classification accuracy of VMD and improve the optimization time.)
Main_PSO_VMD
- 粒子群算法优化vmd算法，极大提高算法的精确性和运行速度(Particle swarm optimization algorithm optimizes VMD algorithm, which greatly improves the accuracy and running speed of the algorithm)
iceemdan.m
- 信号iceemdan模态分解，包含测试信号，简单易实现，需要自己安装emd工具箱((It can be used for signal EMD, EEMD, VMD decomposition. Because the algorithm adds its own annotations, it's easy to understand))