HungVu307 / A-New-ConvMixer-based-Approach-for-Diagnosis-of-Fault-Bearing-using-Signal-Spectrum
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
- Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆22Updated last year
- Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors☆19Updated 2 years ago
- Code for the paper "A Novel Interpretable Model via Algorithm Unrolling for Intelligent Fault Diagnosis of Machinery"☆10Updated 2 months ago
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆16Updated 11 months ago
- [IEEE TIM] This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Dist…☆85Updated last month
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆27Updated last year
- M-band Wavelet Network for Anomaly Detection from a Frequency Perspective☆11Updated 8 months ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆32Updated last year
- Python code for TCTL method☆11Updated 8 months ago
- Code for paper: Scale-information fused correntropy representation for mechanical fault diagnosis under time-varying conditions☆13Updated 5 months ago
- Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings☆24Updated 8 months ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆37Updated 7 months ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆30Updated 2 years ago
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated 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…☆17Updated 11 months ago
- ☆20Updated 2 years ago
- 基于深度学习的机械故障诊断☆30Updated 11 months ago
- We propose a novel semi-supervised learning framework for fault diagnosis in scenarios with limited labeled data, using a Multiscale and …☆11Updated 2 months ago
- The code of our work “Mixed attention network for source-free domain adaptation in bearing fault diagnosis”.☆6Updated 9 months ago
- Variance discrepancy representation☆11Updated 8 months ago
- DMsrTTLN code☆16Updated 5 months ago
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆17Updated last year
- Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing☆30Updated 8 months 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☆33Updated last year
- This is a implemention of paper:Federated Temporal-Context Contrastive Learning for Fault Diagnosis using Multiple Datasets with Insuffic…☆13Updated 10 months ago
- The source code of the model: Multi-Scale Graph Convolutional Network with Contrastive-Learning enhanced Self-attention Pooling (MSGCN-CS…☆17Updated 10 months ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆55Updated 3 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 8 months ago