CHAOZHAO-1 / DG-PHMLinks
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预测)
☆317Updated 2 months ago
Alternatives and similar repositories for DG-PHM
Users that are interested in DG-PHM are comparing it to the libraries listed below
Sorting:
- A transfer learning fault diagnosis repository covering popular algorithms☆274Updated last year
- Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization☆461Updated 10 months ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆107Updated 8 months ago
- 智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）☆390Updated 2 months ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆164Updated 4 years ago
- This is a benckmark for domain generalization-based fault diagnosis （基于领域泛化的相关代码）☆95Updated 8 months ago
- ☆86Updated 3 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…☆34Updated 2 months ago
- ☆62Updated last year
- 基于注意力机制的少量样本故障诊断 pytorch☆240Updated 2 months ago
- 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。☆181Updated last year
- The intelligent fault diagnosis of HNU IDG☆107Updated 2 years ago
- ☆15Updated this week
- this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.☆284Updated 2 years ago
- This reposotory release a bearing failure dataset, which can support intelliegnt fault diagnosis research（实验室自采轴承开源数据集，包含稳定转速和时变转速）☆72Updated 3 months ago
- The intelligent fault diagnosis methods of HNU IDG☆69Updated 2 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 …☆131Updated 6 months ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆63Updated last year
- This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning☆344Updated 2 years ago
- Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative …☆479Updated 3 years ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆33Updated 9 months ago
- ☆101Updated last year
- Bearing fault diagnosis model based on MCNN-LSTM☆356Updated 2 years ago
- A few shot learning repository for bearing fault diagnosis.☆96Updated 2 years ago
- ☆99Updated 2 years ago
- The source codes of Meta-learning for few-shot cross-domain fault diagnosis.☆164Updated 6 months ago
- 一种数字孪生辅助的高度不平衡故障诊断新框架☆95Updated last year
- Using transformer to realize Bearing Fault Diagnosis☆66Updated 2 years ago
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆134Updated 5 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…☆23Updated 2 years ago