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
☆26Updated 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:
- Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆23Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆30Updated last year
- Python code for TCTL method☆12Updated last year
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors☆21Updated 2 years ago
- Code for the paper "A Novel Interpretable Model via Algorithm Unrolling for Intelligent Fault Diagnosis of Machinery"☆13Updated 9 months ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated 2 years ago
- 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☆35Updated 2 years ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆44Updated 7 months ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆36Updated 2 years ago
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆29Updated 2 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆37Updated 2 years ago
- Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing☆44Updated last year
- xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings☆34Updated last year
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆18Updated last year
- ☆23Updated 2 years ago
- A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis☆39Updated last year
- 基于深度学习的机械故障诊断☆36Updated 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…☆24Updated 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
- 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
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆32Updated 7 months ago
- This study proposes a high-precision multisensor feature fusion fault diagnosis method. The method is based on the lightweight spatial en…☆14Updated 9 months ago
- ☆14Updated last year
- A Bayesian Probabilistic Framework for Mechanical Fault Diagnosis☆14Updated last year
- ☆14Updated 5 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 9 months ago
- Physical-knowledge-Guided and Explainable CNNs for Gear Fault Severity Level Diagnosis☆13Updated 5 months ago
- This is a implemention of paper:Federated Temporal-Context Contrastive Learning for Fault Diagnosis using Multiple Datasets with Insuffic…☆16Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated 2 years ago