HazeDT / DAGCNLinks
This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.
☆165Updated 4 years ago
Alternatives and similar repositories for DAGCN
Users that are interested in DAGCN are comparing it to the libraries listed below
Sorting:
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆108Updated 9 months ago
- A few shot learning repository for bearing fault diagnosis.☆99Updated 2 years ago
- 基于图神经网络的机械故障诊断☆100Updated last year
- The intelligent fault diagnosis methods of HNU IDG☆69Updated 2 years ago
- Transfer learning☆53Updated 4 years ago
- The intelligent fault diagnosis of HNU IDG☆107Updated 2 years ago
- ☆100Updated 2 years ago
- ☆64Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆64Updated last year
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆129Updated 5 years ago
- This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis☆88Updated 4 months ago
- This is a benckmark for domain generalization-based fault diagnosis (基于领域泛化的相关代码)☆96Updated 9 months ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆55Updated 4 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
- ☆45Updated 3 years ago
- ☆86Updated 3 years ago
- This is the code of paper "A Label Information Vector Generative Zero-shot Model for the Diagnosis of Compound Faults"☆16Updated 2 years ago
- this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.☆286Updated 2 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…☆42Updated 2 months ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆17Updated last year
- 一种轻量化故障诊断框架——LiConvFormer☆112Updated 8 months ago
- 基于注意力机制的少量样本故障诊断 pytorch☆247Updated 2 months ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆33Updated 9 months ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆95Updated 3 years ago
- ☆103Updated last year
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆136Updated 5 months ago
- Leveraging multiple deep learning models for fault diagnosis☆33Updated last month
- A transfer learning fault diagnosis repository covering popular algorithms☆283Updated last year
- The source codes of Meta-learning for few-shot cross-domain fault diagnosis.☆167Updated 7 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)☆58Updated 3 months ago