HungVu307 / A-New-ConvMixer-based-Approach-for-Diagnosis-of-Fault-Bearing-using-Signal-SpectrumLinks
Siamese-based ConviMixer combined with few-shot learning for classification under limited data
☆27Updated last year
Alternatives and similar repositories for A-New-ConvMixer-based-Approach-for-Diagnosis-of-Fault-Bearing-using-Signal-Spectrum
Users that are interested in A-New-ConvMixer-based-Approach-for-Diagnosis-of-Fault-Bearing-using-Signal-Spectrum are comparing it to the libraries listed below
Sorting:
- This is our implemented source code for the paper "SC-MambaFew: Few-shot learning based on Mamba and selective spatial-channel attention …☆32Updated last week
- Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆24Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆29Updated last year
- Python code for TCTL method☆12Updated last year
- Code for the paper "A Novel Interpretable Model via Algorithm Unrolling for Intelligent Fault Diagnosis of Machinery"☆12Updated 7 months ago
- We propose a novel semi-supervised learning framework for fault diagnosis in scenarios with limited labeled data, using a Multiscale and …☆11Updated 8 months ago
- The code of our work “Mixed attention network for source-free domain adaptation in bearing fault diagnosis”.☆7Updated last year
- Physical-knowledge-Guided and Explainable CNNs for Gear Fault Severity Level Diagnosis☆13Updated 3 months ago
- A Bayesian Probabilistic Framework for Mechanical Fault Diagnosis☆13Updated last year
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆31Updated 5 months ago
- Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors☆21Updated 2 years ago
- ☆11Updated last year
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- 一种新的基于动态图注意力网络和标签传播策略的半监督故障诊断方法☆36Updated 2 years ago
- Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing☆41Updated last year
- ☆13Updated 6 months ago
- This is our implemented source code for the paper "A Bearing Fault Diagnosis Framework Based on Few-Shot Learning with Distribution Consi…☆10Updated 7 months ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆34Updated last year
- ☆14Updated 3 months ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆34Updated 2 years ago
- 1 提出了一种新的相似度损失(SimL)，用于增大类间差异同时减小类内差异；2 SimL+CE优化CNN；3 基于电信号诊断轴承故障☆13Updated last year
- 机器学习背景下旋转机械振动信号故障诊断是否需要信号预处理——使用CWRU数据的一次尝试 Whether signal preprocessing is needed for fault diagnosis of rotating machinery vibration s…☆19Updated last year
- The source code of the model: Multi-Scale Graph Convolutional Network with Contrastive-Learning enhanced Self-attention Pooling (MSGCN-CS…☆17Updated last year
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆19Updated last year
- This is a implemention of paper:Federated Temporal-Context Contrastive Learning for Fault Diagnosis using Multiple Datasets with Insuffic…☆16Updated last year
- Code for paper being submitted☆14Updated 3 weeks ago
- xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings☆31Updated last year
- Variance discrepancy representation☆12Updated last year