zggg1p / A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-NeuLinks
Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide First-layer Kernel is used to extract features to classify the health conditions.
☆131Updated 5 months ago
Alternatives and similar repositories for A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu
Users that are interested in A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-Neu are comparing it to the libraries listed below
Sorting:
- Transfer learning☆53Updated 4 years ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆107Updated 8 months ago
- The intelligent fault diagnosis of HNU IDG☆107Updated 2 years ago
- ☆99Updated 2 years ago
- ☆45Updated 3 years ago
- A transfer learning fault diagnosis repository covering popular algorithms☆274Updated last year
- ☆62Updated last year
- 基于注意力机制的少量样本故障诊断 pytorch☆240Updated 2 months ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆33Updated 8 months ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆17Updated last year
- A few shot learning repository for bearing fault diagnosis.☆96Updated 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)☆57Updated 2 months ago
- ☆109Updated 2 years ago
- ☆15Updated this week
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆164Updated 4 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆55Updated 3 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆63Updated last year
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆40Updated 2 years ago
- Using transformer to realize Bearing Fault Diagnosis☆66Updated 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…☆34Updated 2 months ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆58Updated 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☆45Updated 4 years ago
- 这是一个首层卷积为宽卷积的深度神经网络Deep Convolutional Neural Networks with Wide First-layer Kernels (WDCNN)的实现,该模型具有优越的抗噪能力,可用于轴承的智能故障诊断。☆48Updated 2 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆42Updated 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)☆72Updated 3 months ago
- ☆101Updated last year
- The intelligent fault diagnosis methods of HNU IDG☆69Updated 2 years ago
- Remain useful life prediction of rolling bearing.☆58Updated 4 years ago
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆42Updated 2 years ago
- Siamese network for bearing fault diagnosis☆89Updated 5 years ago