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 last year
Alternatives and similar repositories for NEUFaultDiagnosis403
Users that are interested in NEUFaultDiagnosis403 are comparing it to the libraries listed below
Sorting:
- 基于深度学习的机械故障诊断☆35Updated last year
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆81Updated 3 months ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆31Updated 5 months ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆34Updated last year
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- ☆23Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated 2 years ago
- code for DFAWnet☆36Updated 2 years ago
- ☆20Updated 2 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆37Updated 2 years ago
- 一种用于复杂工况机械故障检测的GNN方法☆46Updated last year
- ☆33Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆60Updated 3 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
- ☆46Updated 4 months ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆34Updated 2 years ago
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆15Updated 5 months ago
- ☆23Updated 2 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆17Updated last year
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆29Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆64Updated last year
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 3 years ago
- ☆38Updated last year
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆30Updated 11 months ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆59Updated 5 months ago
- Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" which published…☆34Updated 8 months ago
- ☆14Updated 3 months ago
- Code sharing of fault diagnosis papers.☆51Updated last year
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆40Updated 2 years ago