fyancy / MetaFD
The source codes of Meta-learning for few-shot cross-domain fault diagnosis.
☆126Updated 4 months ago
Related projects: ⓘ
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆110Updated 4 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆76Updated 2 years ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆124Updated 3 years ago
- ☆68Updated 2 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…☆157Updated 3 weeks ago
- ☆44Updated 8 months ago
- The intelligent fault diagnosis methods of HNU IDG☆62Updated last year
- ☆39Updated 3 years ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆78Updated 4 months ago
- Source Code of Industrial_ZSL in TII☆28Updated 3 years ago
- A few shot learning repository for bearing fault diagnosis.☆55Updated last year
- This is a benckmark for domain generalization-based fault diagnosis (基于领域泛化的相关代码)☆50Updated 3 months ago
- ☆86Updated last year
- ☆76Updated 3 weeks ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆45Updated 3 years ago
- The intelligent fault diagnosis of HNU IDG☆69Updated last year
- ☆42Updated 2 years 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)☆43Updated last year
- A transfer learning fault diagnosis repository covering popular algorithms☆157Updated last month
- 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…☆21Updated last year
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆53Updated 2 years ago
- ☆90Updated 5 years ago
- This is a dataset of inter-shaft bearing based on the vibration signal of rotors and casings, which comes from a aero-engine test with in…☆61Updated 5 months ago
- Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…☆27Updated 2 years ago
- 基于图神经网络的机械故障诊断☆73Updated 6 months ago
- Transfer learning☆43Updated 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 …☆100Updated 3 months ago
- Implementation of the mechanical fault diagnosis method using model agnostic meta-learning (MAML)☆26Updated last year
- ☆26Updated 3 years ago
- Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" which published…☆25Updated last year