liguge / Deep-Residual-Shrinkage-Networks-for-intelligent-fault-diagnosis-DRSN-
Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis(pytorch) 深度残差收缩网络应用于故障诊断
☆203Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Deep-Residual-Shrinkage-Networks-for-intelligent-fault-diagnosis-DRSN-
- 基于注意力机制的少量样本故障诊断 pytorch☆200Updated last year
- 深度残差收缩网络处理一维时域信号☆37Updated last year
- A transfer learning fault diagnosis repository covering popular algorithms☆181Updated 3 months ago
- 1DCNN Fault Detection(1DCNN的轴承故障诊断)☆132Updated 2 years ago
- The intelligent fault diagnosis of HNU IDG☆77Updated 2 years ago
- Bearing fault diagnosis model based on MCNN-LSTM☆257Updated last year
- ☆91Updated last year
- The intelligent fault diagnosis methods of HNU IDG☆62Updated 2 years ago
- ☆94Updated 5 years ago
- 基于深度学习的滚动轴承故障诊断方法☆170Updated 5 years ago
- zggg1p / A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-NeuInspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide …☆108Updated 5 months ago
- ☆68Updated 2 years ago
- 基于深度学习的机械设备故障诊断方法研究☆18Updated 2 years ago
- Using transformer to realize Bearing Fault Diagnosis☆52Updated last year
- ☆92Updated 2 years ago
- This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和…☆191Updated this week
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆31Updated last year
- 智能故障诊断和寿命预测期刊(Journals of Intelligent Fault Diagnosis and Remaining Useful Life)☆284Updated last month
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆96Updated 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☆42Updated 3 years ago
- 这是一个首层卷积为宽卷积的深度神经网络Deep Convolutional Neural Networks with Wide First-layer Kernels (WDCNN)的实现,该模型具有优越的抗噪能力,可用于轴承的智能故障诊断。☆36Updated last year
- This is the code for WaveletKernelNet.☆104Updated last month
- Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.☆74Updated 3 years ago
- New GAN models in dataset of CWRU☆36Updated 2 years ago
- An open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.(30余个开源故障…☆78Updated 6 months ago
- 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…☆22Updated last year
- This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning☆296Updated 2 years ago
- ☆48Updated 10 months ago
- Siamese network for bearing fault diagnosis☆84Updated 4 years ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆91Updated 6 months ago