CHAOZHAO-1 / Domain-generalization-fault-diagnosis-benchmarkLinks
This is a benckmark for domain generalization-based fault diagnosis （基于领域泛化的相关代码）
☆93Updated 6 months ago
Alternatives and similar repositories for Domain-generalization-fault-diagnosis-benchmark
Users that are interested in Domain-generalization-fault-diagnosis-benchmark are comparing it to the libraries listed below
Sorting:
- 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）☆66Updated last month
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆103Updated 6 months ago
- A few shot learning repository for bearing fault diagnosis.☆91Updated last year
- ☆59Updated last year
- This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis☆82Updated last month
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆90Updated 3 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…☆16Updated 6 months ago
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆159Updated 4 years ago
- ☆45Updated 3 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆61Updated 10 months ago
- The intelligent fault diagnosis of HNU IDG☆103Updated 2 years ago
- Transfer learning☆51Updated 3 years ago
- ☆44Updated 4 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 weeks 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 …☆124Updated 3 months ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆58Updated 4 months ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆53Updated 3 years ago
- Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…☆34Updated 3 years ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆69Updated 4 months ago
- The intelligent fault diagnosis methods of HNU IDG☆68Updated 2 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆106Updated 6 months ago
- ☆97Updated 9 months ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆29Updated 6 months ago
- Conditional Contrastive Domain Generalization For Fault Diagnosis☆38Updated 2 years ago
- ☆86Updated 3 years ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆40Updated 2 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆124Updated 4 years ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆43Updated 4 months ago
- ☆25Updated 4 years ago
- ☆38Updated last year