Everbright52 / NEUFaultDiagnosis403Links
Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-frequency representations. Leverage deep learning for precise diagnosis. Open-source for collaboration, advancing bearing fault diagnosis.
☆21Updated 2 years ago
Alternatives and similar repositories for NEUFaultDiagnosis403
Users that are interested in NEUFaultDiagnosis403 are comparing it to the libraries listed below
Sorting:
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆86Updated 5 months ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆37Updated 2 years ago
- 基于深度学习的机械故障诊断☆37Updated last year
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆32Updated 7 months ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆38Updated last year
- code for DFAWnet☆36Updated 2 years ago
- ☆34Updated 2 years ago
- ☆39Updated last year
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆60Updated 3 years 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
- ☆23Updated 2 years ago