cy1034429432 / Diagnosing-Transformer-Winding-Deformation-Fault-Types-from-FRA-Based-on-Conditional-WGAN-GP-Links
Application of Generative AI-based Data Augmentation Technique in Transformer Winding Deformation Fault Diagnosis
☆11Updated last year
Alternatives and similar repositories for Diagnosing-Transformer-Winding-Deformation-Fault-Types-from-FRA-Based-on-Conditional-WGAN-GP-
Users that are interested in Diagnosing-Transformer-Winding-Deformation-Fault-Types-from-FRA-Based-on-Conditional-WGAN-GP- are comparing it to the libraries listed below
Sorting:
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆19Updated 2 years ago
- Fault detection and diagnosis for dynamic system based on GAN and independent subspace reconstruction☆12Updated 2 years ago
- This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric…☆11Updated last year
- Using transformer to realize Bearing Fault Diagnosis☆69Updated 2 years ago
- 基于机器学习的机械故障诊断☆18Updated last year
- 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 …☆145Updated 10 months ago
- The intelligent fault diagnosis of HNU IDG☆122Updated 3 years ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆118Updated last year
- A transfer learning fault diagnosis repository covering popular algorithms☆333Updated last year
- ☆109Updated 2 years ago
- ☆72Updated 2 years ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆41Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆69Updated last year
- 基于注意力机制的少量样本故障诊断 pytorch☆272Updated 6 months ago
- ☆47Updated 3 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆144Updated last year
- 基于深度学习的机械故障诊断☆38Updated last year
- 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。☆57Updated 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）☆99Updated 7 months ago
- ☆36Updated 3 years ago
- A few shot learning repository for bearing fault diagnosis.☆104Updated 2 years ago
- ☆17Updated this week
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆148Updated 9 months ago
- 基于迁移学习DANN模型，对不同工况轴承进行故障诊断☆60Updated 4 years ago
- Transfer learning☆62Updated 4 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆40Updated 2 years ago
- ☆117Updated 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)☆68Updated 7 months ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆97Updated 8 months ago
- ☆38Updated last year