liguge / ligugeLinks
☆15Updated this week
Alternatives and similar repositories for liguge
Users that are interested in liguge are comparing it to the libraries listed below
Sorting:
- A transfer learning fault diagnosis repository covering popular algorithms☆309Updated 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 …☆138Updated 7 months ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆112Updated 9 months ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆36Updated 10 months ago
- 基于注意力机制的少量样本故障诊断 pytorch☆247Updated 3 months ago
- The intelligent fault diagnosis of HNU IDG☆110Updated 2 years ago
- ☆67Updated last year
- 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…☆339Updated 3 months ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆17Updated last year
- 智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）☆405Updated 3 months ago
- Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization☆491Updated last year
- ☆101Updated 2 years ago
- ☆47Updated 3 years ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆169Updated 4 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。☆52Updated 2 years ago
- The intelligent fault diagnosis methods of HNU IDG☆69Updated 2 years ago
- Transfer learning☆56Updated 4 years ago
- A few shot learning repository for bearing fault diagnosis.☆100Updated 2 years ago
- 基于迁移学习DANN模型，对不同工况轴承进行故障诊断☆56Updated 4 years ago
- Using transformer to realize Bearing Fault Diagnosis☆66Updated 2 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)☆58Updated 4 months ago
- ☆106Updated last year
- ☆85Updated 3 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆64Updated last year
- This is a benckmark for domain generalization-based fault diagnosis （基于领域泛化的相关代码）☆103Updated 10 months ago
- This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning☆359Updated 3 years ago
- Bearing fault diagnosis model based on MCNN-LSTM☆372Updated 2 years ago
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆139Updated 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…☆24Updated 2 years ago
- 机械故障诊断公开数据集☆64Updated last year