ntkhoa95 / Convolutional-Attention-Neural-Network-for-Induction-MotorsLinks
Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors
☆21Updated 2 years ago
Alternatives and similar repositories for Convolutional-Attention-Neural-Network-for-Induction-Motors
Users that are interested in Convolutional-Attention-Neural-Network-for-Induction-Motors are comparing it to the libraries listed below
Sorting:
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆17Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆29Updated last year
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆43Updated 3 months ago
- Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆22Updated 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☆36Updated 2 years ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆29Updated 3 months ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- ☆23Updated 2 years ago
- Condition Based Maintenance Fault Database for Testing of Diagnostic and Prognostics Algorithms☆16Updated 6 months ago
- Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis☆21Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆38Updated 2 years ago
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆18Updated last year
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆58Updated 3 months ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆34Updated 2 years ago
- ☆20Updated 2 years ago
- A Dual-View Network For Imbalanced Fault Diagnosis of Rotating Machinery☆11Updated last year
- Code for the paper "A Novel Interpretable Model via Algorithm Unrolling for Intelligent Fault Diagnosis of Machinery"☆12Updated 5 months ago
- 基于机器学习的机械故障诊断☆18Updated last year
- Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings☆25Updated last year
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- ☆11Updated last month
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆29Updated last year
- [RESS 2022] Code for Dual adversarial network for cross-domain open set fault diagnosis☆20Updated last year
- This study proposes a high-precision multisensor feature fusion fault diagnosis method. The method is based on the lightweight spatial en…☆12Updated 5 months ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆31Updated last year
- 一种用于复杂工况机械故障检测的GNN方法☆46Updated last year
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆57Updated 3 years ago
- ☆33Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated last year