fyancy / MetaFD
The source codes of Meta-learning for few-shot cross-domain fault diagnosis.
☆145Updated last month
Alternatives and similar repositories for MetaFD:
Users that are interested in MetaFD are comparing it to the libraries listed below
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆120Updated 4 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆87Updated 2 years ago
- ☆79Updated 2 years ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆147Updated 3 years ago
- ☆53Updated last year
- ☆43Updated 3 years ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆59Updated last month
- A few shot learning repository for bearing fault diagnosis.☆79Updated last year
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆56Updated 3 years ago
- This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis☆73Updated last year
- This is a benckmark for domain generalization-based fault diagnosis (基于领域泛化的相关代码)☆78Updated 3 months ago
- Source Code of Industrial_ZSL in TII☆31Updated 3 years ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆95Updated 3 months ago
- Implementation of the mechanical fault diagnosis method using model agnostic meta-learning (MAML)☆31Updated last year
- ☆45Updated 2 years ago
- The intelligent fault diagnosis methods of HNU IDG☆66Updated 2 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆49Updated 3 years 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…☆241Updated 2 weeks ago
- Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" which published…☆30Updated 3 months ago
- Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…☆33Updated 3 years ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆39Updated 2 years ago
- Transfer learning☆49Updated 3 years ago
- ☆92Updated last year
- 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)☆53Updated 2 months ago
- Conditional Contrastive Domain Generalization For Fault Diagnosis☆32Updated last year
- 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)☆51Updated last year
- 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
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆44Updated 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 …☆113Updated 2 weeks ago
- ☆99Updated 5 years ago