Yifei20 / Few-shot-Fault-Diagnosis-MAMLLinks
Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnosis problem.
☆69Updated 3 months ago
Alternatives and similar repositories for Few-shot-Fault-Diagnosis-MAML
Users that are interested in Few-shot-Fault-Diagnosis-MAML are comparing it to the libraries listed below
Sorting:
- A few shot learning repository for bearing fault diagnosis.☆88Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆58Updated 10 months ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆78Updated last month
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆57Updated 3 years ago
- ☆45Updated 3 years ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆101Updated 5 months 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☆58Updated 3 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)☆53Updated 2 years ago
- Transfer learning☆50Updated 3 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆90Updated 2 years ago
- Using transformer to realize Bearing Fault Diagnosis☆62Updated 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…☆13Updated 5 months ago
- This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis☆80Updated last month
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆30Updated 9 months ago
- 一种轻量化故障诊断框架——LiConvFormer☆103Updated 5 months ago
- The intelligent fault diagnosis of HNU IDG☆99Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated last year
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆28Updated 6 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆38Updated 2 years ago
- ☆59Updated last year
- 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 …☆121Updated 3 months ago
- ☆24Updated 4 years ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆34Updated 2 years ago
- ☆38Updated last year
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- 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
- An information fusion-based meta transfer learning method for few-shot fault diagnosis under varying operating conditions☆12Updated 9 months ago
- Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" which published…☆32Updated 5 months ago
- 基于机器学习的机械故障诊断☆18Updated last year