Aiming at problems that traditional fault diagnosis methods need to extract features manually and the recognition rate is low, a VMD-CWT-CNN model based on variational modal decomposition ( VMD) and continuous wavelet transform (CWT) combined with convolutional neural network (CNN) ...
3.1 定义VMD-CNN-Transformer分类网络模型 3.2 设置参数,训练模型 3.3 模型评估 代码、数据如下: 往期精彩内容: Python-凯斯西储大学(CWRU)轴承数据解读与分类处理 - 知乎 (zhihu.com) Python轴承故障诊断 (一)短时傅里叶变换STFT - 知乎 (zhihu.com) Python轴承故障诊断 (二)连续小波变换CWT - 知乎 (zhihu....
最后通过Python实现VMD-CNN-BiGRU-Attenion的时空特征融合多头注意力机制对故障数据的分类。
完整源码和数据获取方式私信博主回复:Matlab实现GWO-SVMD灰狼算法优化逐次变分模态分解。
A hybrid model based on VMD, CNN and SVM was proposed for rolling bearings diagnosis.The performance of VMD on an analog signal with DC component and noise is studied.Overlap sampling for one-dimensional data reconstructed from IMF components.The validity of the method is verified by different ...
无论是VMD,还是小波分解，还是EWT，还是emd，都类似，分解知乎提取各种特征，比如熵特征，分形特征，能量...
(一)短时傅里叶变换STFT - 知乎 (zhihu.com)Python轴承故障诊断 (二)连续小波变换CWT - 知乎 (...
(一)短时傅里叶变换STFT - 知乎 (zhihu.com)Python轴承故障诊断 (二)连续小波变换CWT - 知乎 (...
Python轴承故障诊断 (二)连续小波变换CWT - 知乎 (zhihu.com) Python轴承故障诊断 (三)经验模态分解EMD - 知乎 (zhihu.com) Pytorch-LSTM轴承故障一维信号分类(一) - 知乎 (zhihu.com) Pytorch-CNN轴承故障一维信号分类(二) - 知乎 (zhihu.com)