Xiaohan-Chen / transfer-learning-fault-diagnosis-pytorchLinks
A transfer learning fault diagnosis repository covering popular algorithms
☆333Updated last year
Alternatives and similar repositories for transfer-learning-fault-diagnosis-pytorch
Users that are interested in transfer-learning-fault-diagnosis-pytorch are comparing it to the libraries listed below
Sorting:
- Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization☆532Updated last year
- Bearing fault diagnosis model based on MCNN-LSTM☆405Updated 2 years ago
- 基于注意力机制的少量样本故障诊断 pytorch☆272Updated 6 months 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…☆374Updated 6 months 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 …☆145Updated 10 months ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆118Updated last year
- The intelligent fault diagnosis of HNU IDG☆122Updated 3 years ago
- 智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）☆430Updated last week
- An open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.（30余个开源故障…☆91Updated 6 months 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。☆57Updated 2 years ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆41Updated last year
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆191Updated 4 years ago
- ☆17Updated this week
- Using transformer to realize Bearing Fault Diagnosis☆69Updated 2 years ago
- This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning☆370Updated 3 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆144Updated last year
- 1DCNN Fault Detection（1DCNN的轴承故障诊断）☆195Updated 3 years ago
- ☆72Updated 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☆60Updated 4 years ago
- ☆89Updated 3 years ago
- ☆109Updated 2 years ago
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆148Updated 9 months ago
- ☆117Updated last year
- 分享的所有 数据集均为开源的PHM（Prognostics and Health Management）数据，涵盖故障诊断、健康评估和寿命预测等领域。☆245Updated last year
- A few shot learning repository for bearing fault diagnosis.☆104Updated 2 years ago
- ☆47Updated 3 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆69Updated last year
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆19Updated 2 years ago
- This is a benckmark for domain generalization-based fault diagnosis （基于领域泛化的相关代码）☆120Updated last year
- This repository is for the transfer learning or domain adaptive with fault diagnosis.☆280Updated 3 years ago