HazeDT / DAGCN
This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.
☆143Updated 3 years ago
Alternatives and similar repositories for DAGCN:
Users that are interested in DAGCN are comparing it to the libraries listed below
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆94Updated 2 months ago
- A few shot learning repository for bearing fault diagnosis.☆77Updated last year
- 基于图神经网络的机械故障诊断☆88Updated 11 months ago
- Transfer learning☆49Updated 3 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 …☆108Updated 8 months ago
- This is a benckmark for domain generalization-based fault diagnosis （基于领域泛化的相关代码）☆75Updated 2 months ago
- The intelligent fault diagnosis of HNU IDG☆85Updated 2 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆84Updated 2 years ago
- ☆93Updated last year
- ☆45Updated 2 years ago
- ☆52Updated last year
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆119Updated 4 years ago
- The intelligent fault diagnosis methods of HNU IDG☆63Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆65Updated 9 months ago
- ☆76Updated 2 years ago
- This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis☆70Updated last year
- 一种轻量化故障诊断框架——LiConvFormer☆78Updated last month
- A transfer learning fault diagnosis repository covering popular algorithms☆214Updated 6 months 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)☆50Updated last year
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆17Updated last year
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆54Updated last month
- An open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.（30余个开源故障…☆2Updated last month
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆49Updated 3 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆51Updated 6 months ago
- 基于迁移学习DANN模型，对不同工况轴承进行故障诊断☆38Updated 3 years ago
- The source codes of Meta-learning for few-shot cross-domain fault diagnosis.☆141Updated 9 months ago
- Using transformer to realize Bearing Fault Diagnosis☆59Updated last year
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆106Updated last year
- this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.☆237Updated 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）☆49Updated last month