MRZHANG-1997 / Python
☆30Updated 3 years ago
Alternatives and similar repositories for Python
Users that are interested in Python are comparing it to the libraries listed below
Sorting:
- 实现的是WDCNN的pytorch版本代码,对应论文的第三章 data包含了四个数据文件夹,这里只使用了0HP文件夹中的数据,里面包含了正常、内圈、外圈、滚动体共10种状态 preprocess.py的功能是对数据进行采样、编码,虽然划分出来了验证集但是并没有使用 trai…☆23Updated 2 years ago
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆39Updated last year
- ☆43Updated last month
- 深度残差收缩网络处理一维时域信号☆37Updated last year
- 智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent fault diagnosis☆103Updated last year
- ☆32Updated last year
- 基于机器学习的机械故障诊断☆18Updated last year
- Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings☆25Updated 11 months ago
- 帮助各位成为算法大佬☆49Updated 10 months ago
- 基于可变形卷积和注意力机制的滚动轴承故障诊断☆45Updated 4 years ago
- Self-attention、Non-local、SE、SK、CBAM、DANet☆477Updated 3 years ago
- ☆84Updated 2 years ago
- This project organizes classic images classification neural networks based on convolution or attention, and writes training and inference…☆190Updated 4 months ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆29Updated 2 months ago
- ☆38Updated last year
- ☆59Updated last year
- 智能故障诊断期刊推荐☆9Updated 2 years ago
- This study proposes a high-precision multisensor feature fusion fault diagnosis method. The method is based on the lightweight spatial en…☆12Updated 4 months ago
- GAN的论文复现☆84Updated last year
- ☆33Updated 2 years ago
- This is the Matlab code of the blind deconvolution based on the ratio of cyclic content (BD-RCC). BD-RCC can be used to recover repetitiv…☆24Updated 3 years ago
- ☆82Updated 2 years ago
- 一维卷积神经网络☆40Updated 5 years ago
- 基于深度学习的机械故障诊断☆33Updated last year
- WT-planetary-gearbox-datasets☆63Updated last year
- The intelligent fault diagnosis methods of HNU IDG☆68Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆57Updated 3 years ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆57Updated 3 years ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆75Updated 3 weeks ago