ntkhoa95 / Convolutional-Attention-Neural-Network-for-Induction-Motors
Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors
☆15Updated last year
Related projects: ⓘ
- Code for the paper "A Novel Interpretable Model via Algorithm Unrolling for Intelligent Fault Diagnosis of Machinery"☆8Updated 7 months ago
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆12Updated 6 months ago
- Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆22Updated last year
- The source code of the model: Multi-Scale Graph Convolutional Network with Contrastive-Learning enhanced Self-attention Pooling (MSGCN-CS…☆10Updated 5 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆21Updated 11 months ago
- DMsrTTLN code☆11Updated 3 weeks ago
- Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings☆18Updated 3 months ago
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆16Updated 9 months ago
- The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis☆38Updated 2 years ago
- ☆19Updated last year
- ☆10Updated 5 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☆31Updated last year
- Python code for TCTL method☆10Updated 2 months ago
- 一种新的用于噪声干扰下刀具的无监督异常检测方法☆19Updated last year
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆26Updated 2 months ago
- ☆19Updated last year
- A Bayesian Probabilistic Framework for Mechanical Fault Diagnosis☆10Updated 5 months ago
- 一种用于复杂工况机械故障检测的GNN方法☆35Updated last year
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆14Updated 4 months ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆53Updated 2 years ago
- ☆10Updated 2 years ago
- M-band Wavelet Network for Anomaly Detection from a Frequency Perspective☆10Updated 3 months ago
- Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnos…☆21Updated 3 weeks ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆27Updated last year
- ☆30Updated 2 weeks ago
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆24Updated last year
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆26Updated 2 years ago
- Code for paper: Scale-information fused correntropy representation for mechanical fault diagnosis under time-varying conditions☆10Updated 2 weeks ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆28Updated last year
- The implementation of Multiplication Convolutional Networks (MCN) in Pytorch.☆17Updated 4 months ago