xyxdegithub / cwt_swinTransformerLinks
基于小波时频图与 Swin Transformer 的轴承故障诊断方法
☆42Updated last year
Alternatives and similar repositories for cwt_swinTransformer
Users that are interested in cwt_swinTransformer are comparing it to the libraries listed below
Sorting:
- Using transformer to realize Bearing Fault Diagnosis☆64Updated 2 years ago
- ☆97Updated 2 years ago
- 一种轻量化故障诊断框架——LiConvFormer☆105Updated 6 months ago
- ☆59Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆39Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆79Updated 2 months ago
- A few shot learning repository for bearing fault diagnosis.☆91Updated 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)☆53Updated 2 weeks ago
- The intelligent fault diagnosis of HNU IDG☆103Updated 2 years ago
- 轴承故障诊断☆88Updated 2 years ago
- Transfer learning☆51Updated 3 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- The intelligent fault diagnosis methods of HNU IDG☆68Updated 2 years ago
- ☆45Updated 3 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- 基于深度学习的机械故障诊断☆35Updated last year
- Bearing Fault Diagnosis By CNN、LSTM+CNN、GRU+CNN、SelfAttention+CNN☆29Updated 6 months ago
- ☆106Updated 2 years ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆57Updated 3 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 …☆124Updated 3 months 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…☆16Updated 6 months 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。☆46Updated 2 years ago
- ☆86Updated 3 years ago
- 机械故障诊断公开数据集☆58Updated last year
- Leveraging multiple deep learning models for fault diagnosis☆29Updated 2 months ago
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- ☆33Updated 2 years ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆103Updated 6 months ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆61Updated 10 months ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆58Updated 3 months ago