ArthurWish / DCTLN-Links
☆46Updated 4 years ago
Alternatives and similar repositories for DCTLN-
Users that are interested in DCTLN- are comparing it to the libraries listed below
Sorting:
- ☆45Updated 3 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆129Updated 5 years ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆108Updated 9 months ago
- A few shot learning repository for bearing fault diagnosis.☆99Updated 2 years ago
- Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…☆36Updated 3 years ago
- Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" (MLDSO) which p…☆34Updated 9 months ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆58Updated 3 years ago
- Transfer learning☆53Updated 4 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆40Updated 2 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆95Updated 3 years ago
- This is a benckmark for domain generalization-based fault diagnosis （基于领域泛化的相关代码）☆96Updated 9 months ago
- The intelligent fault diagnosis methods of HNU IDG☆69Updated 2 years ago
- This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis☆88Updated 4 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)☆58Updated 3 months ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆55Updated 4 years ago
- ☆64Updated last year
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆47Updated 3 years ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆41Updated 2 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）☆74Updated 3 months ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆61Updated 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 …☆131Updated 6 months ago
- ☆86Updated 3 years ago
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆31Updated 2 years ago
- The source codes of Meta-learning for few-shot cross-domain fault diagnosis.☆167Updated 7 months ago
- ☆23Updated 2 years ago
- 一种数字孪生辅助的高度不平衡故障诊断新框架☆96Updated last year
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆165Updated 4 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆42Updated 2 years ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆78Updated 7 months ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆64Updated last year