XiubenWu / GANFORCWRU
New GAN models in dataset of CWRU
☆38Updated 2 years ago
Alternatives and similar repositories for GANFORCWRU:
Users that are interested in GANFORCWRU are comparing it to the libraries listed below
- Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.☆79Updated 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)☆52Updated last year
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆54Updated 2 years ago
- Transfer learning☆49Updated 3 years ago
- ☆45Updated 2 years ago
- for my thesis work☆17Updated 3 years ago
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆44Updated 3 years ago
- ☆52Updated last year
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆49Updated 3 years ago
- Chiller Fault Diagnosis based on VAE Enabled Generative Adversarial Networks☆37Updated 4 years ago
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆39Updated 3 years ago
- ☆93Updated last year
- Siamese network for bearing fault diagnosis☆85Updated 5 years ago
- It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…☆20Updated 4 years ago
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆35Updated last year
- 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 …☆109Updated this week
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆36Updated 2 years ago
- This is an implementation of “Domain Adaptation for Fault Diagnosis on CWRU Dataset"☆13Updated 3 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆33Updated last year
- ☆31Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆55Updated 3 years ago
- ☆24Updated 3 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆24Updated 5 years ago
- A few shot learning repository for bearing fault diagnosis.☆78Updated last year
- Fault detection and diagnosis for dynamic system based on GAN and independent subspace reconstruction☆9Updated last year
- ☆22Updated last year
- The intelligent fault diagnosis of HNU IDG☆86Updated 2 years ago
- ☆21Updated 4 years ago
- ☆43Updated 3 years ago
- ☆29Updated last year