mingzhangPHD / Few-shot-Learning-for-Fault-Diagnosis
This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.
☆87Updated 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
- A few shot learning repository for bearing fault diagnosis.☆78Updated 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
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆59Updated last month
- Transfer learning☆49Updated 3 years ago
- ☆45Updated 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)☆52Updated last year
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆120Updated 4 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆49Updated 3 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆96Updated 3 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆37Updated 2 years ago
- ☆53Updated last year
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆49Updated 2 weeks 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)☆53Updated 2 months ago
- ☆25Updated 3 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆69Updated 10 months ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆52Updated 7 months ago
- This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis☆73Updated last year
- Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" which published…☆30Updated 3 months ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆147Updated 3 years ago
- ☆43Updated 3 years ago
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆39Updated 3 years ago
- 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
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆39Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆40Updated last year
- ☆32Updated 2 years ago
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆44Updated 3 years ago
- ☆36Updated last year
- Code sharing of fault diagnosis papers.☆47Updated last year
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆39Updated 2 weeks ago