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
☆10Updated 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☆17Updated last year
- This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric…☆10Updated last year
- 基于机器学习的机械故障诊断☆18Updated last year
- The intelligent fault diagnosis of HNU IDG☆107Updated 2 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
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆108Updated 9 months ago
- Using transformer to realize Bearing Fault Diagnosis☆66Updated 2 years ago
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆34Updated 9 months ago
- ☆66Updated last year
- A transfer learning fault diagnosis repository covering popular algorithms☆283Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆64Updated last year
- ☆100Updated 2 years ago
- ☆16Updated 2 weeks ago
- 基于注意力机制的少量样本故障诊断 pytorch☆247Updated 2 months ago
- ☆45Updated 3 years ago
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆43Updated 2 years ago
- A few shot learning repository for bearing fault diagnosis.☆99Updated 2 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。☆50Updated 2 years ago
- 基于迁移学习DANN模型，对不同工况轴承进行故障诊断☆54Updated 4 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆42Updated 2 years ago
- ☆34Updated 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)☆58Updated 3 months ago
- 基于深度学习的机械故障诊断☆35Updated last year
- ☆14Updated 4 months ago
- Unsupervised Feature-Preserving CycleGAN for Fault Diagnosis of Rolling Bearings using Unbalanced Infrared Thermal Imaging Sample☆13Updated last year
- 一种轻量化故障诊断框架——LiConvFormer☆112Updated 8 months ago
- Transfer learning☆53Updated 4 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…☆47Updated 2 months ago
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆136Updated 5 months ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆36Updated 2 years ago