yinjg1997 / Deep-Convolutional-Neural-Networks-with-Wide-First-layer-KernelsLinks
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。
☆54Updated 2 years ago
Alternatives and similar repositories for Deep-Convolutional-Neural-Networks-with-Wide-First-layer-Kernels
Users that are interested in Deep-Convolutional-Neural-Networks-with-Wide-First-layer-Kernels are comparing it to the libraries listed below
Sorting:
- 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 …☆140Updated 8 months ago
- A transfer learning fault diagnosis repository covering popular algorithms☆318Updated last year
- 基于注意力机制的少量样本故障诊断 pytorch☆257Updated 4 months ago
- 基于深度学习的滚动轴承故障诊断方法☆209Updated 6 years ago
- Using transformer to realize Bearing Fault Diagnosis☆66Updated 2 years ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆38Updated 11 months ago
- ☆106Updated 2 years ago
- The intelligent fault diagnosis of HNU IDG☆117Updated 3 years ago
- 1DCNN Fault Detection（1DCNN的轴承故障诊断）☆185Updated 3 years ago
- 基于迁移学习DANN模型，对不同工况轴承进行故障诊断☆58Updated 4 years ago
- Transfer learning☆58Updated 4 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆19Updated last year
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆115Updated 11 months ago
- Bearing fault diagnosis model based on MCNN-LSTM☆386Updated 2 years ago
- ☆73Updated last year
- ☆46Updated 3 years ago
- 机械故障诊断公开数据集☆68Updated last year
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆51Updated 2 years ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆183Updated 4 years ago
- 轴承故障诊断☆116Updated 3 years ago
- ☆112Updated 3 years ago
- 基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)☆64Updated 5 months ago
- A few shot learning repository for bearing fault diagnosis.☆101Updated 2 years 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…☆26Updated 2 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆39Updated 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…☆64Updated 4 months ago
- ☆212Updated 6 years ago
- ☆17Updated 2 weeks ago
- 基于深度学习的机械故障诊断☆36Updated last year
- wdcnn轴承故障模型☆381Updated 7 years ago