ClarkGableWang / JNU-Bearing-DatasetLinks
The bearing fault data set collected by Jiangnan University.
☆32Updated 2 years ago
Alternatives and similar repositories for JNU-Bearing-Dataset
Users that are interested in JNU-Bearing-Dataset are comparing it to the libraries listed below
Sorting:
- 一种数字孪生辅助的高度不平衡故障诊断新框架☆97Updated last year
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆86Updated 5 months ago
- ☆106Updated last year
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆95Updated 3 years ago
- The intelligent fault diagnosis of HNU IDG☆110Updated 2 years ago
- A few shot learning repository for bearing fault diagnosis.☆100Updated 2 years ago
- WT-planetary-gearbox-datasets☆75Updated last year
- The intelligent fault diagnosis methods of HNU IDG☆69Updated 2 years ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆111Updated 9 months ago
- ☆17Updated 4 years ago
- Awsome-Multi-modal-based PHM (基于多模态的故障诊断和预测)☆85Updated 3 months ago
- : Faulty and healthy gear box Data sets need to be analyzed in detail. Here, we created this dataset for those who do research in wind tu…☆57Updated 7 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆64Updated last year
- 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)☆78Updated 4 months ago
- ☆100Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆61Updated 3 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆56Updated 4 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆42Updated 2 years ago
- ☆34Updated 2 years ago
- 机械故障诊断公开数据集☆64Updated last year
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆169Updated 4 years ago
- ☆67Updated last year
- ☆47Updated 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…☆54Updated 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)☆58Updated 3 months 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 …☆138Updated 7 months ago
- 基于深度学习的机械故障诊断☆36Updated last year
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆31Updated 2 years ago
- This is the original dataset that we use in our research work, but it may difficult to find in the original link.☆27Updated 4 years ago
- Transfer learning☆56Updated 4 years ago