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.
☆127Updated 4 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:
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆106Updated 7 months ago
- Transfer learning☆52Updated 3 years ago
- ☆45Updated 3 years ago
- The intelligent fault diagnosis of HNU IDG☆106Updated 2 years ago
- ☆98Updated 2 years ago
- A transfer learning fault diagnosis repository covering popular algorithms☆270Updated 11 months ago
- 基于注意力机制的少量样本故障诊断 pytorch☆238Updated 3 weeks ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆31Updated 7 months ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆17Updated last year
- This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Condit…☆162Updated 4 years ago
- A few shot learning repository for bearing fault diagnosis.☆92Updated last year
- 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)☆55Updated last month
- ☆60Updated last year
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆43Updated 4 years ago
- Using transformer to realize Bearing Fault Diagnosis☆66Updated 2 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆63Updated 11 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆41Updated 2 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆55Updated 3 years ago
- ☆108Updated 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…☆26Updated 3 weeks 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。☆47Updated 2 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆40Updated 2 years ago
- ☆22Updated 2 years ago
- ☆25Updated 4 years ago
- It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…☆21Updated 5 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆125Updated 5 years ago
- The intelligent fault diagnosis methods of HNU IDG☆68Updated 2 years ago
- This is a benckmark for domain generalization-based fault diagnosis (基于领域泛化的相关代码)☆94Updated 7 months ago
- Siamese network for bearing fault diagnosis☆88Updated 5 years ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆57Updated 3 years ago