mingzhangPHD / Few-shot-Learning-for-Fault-DiagnosisLinks
This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.
☆90Updated 2 years ago
Alternatives and similar repositories for Few-shot-Learning-for-Fault-Diagnosis
Users that are interested in Few-shot-Learning-for-Fault-Diagnosis are comparing it to the libraries listed below
Sorting:
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆57Updated 3 years ago
- A few shot learning repository for bearing fault diagnosis.☆88Updated last year
- Transfer learning☆50Updated 3 years ago
- ☆45Updated 3 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)☆53Updated 2 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆58Updated 10 months ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆69Updated 3 months ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆52Updated 3 years ago
- This is a benckmark for domain generalization-based fault diagnosis (基于领域泛化的相关代码)☆90Updated 5 months ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆120Updated 4 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)☆65Updated 2 weeks ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion