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.
☆22Updated 2 years ago
Alternatives and similar repositories for NEUFaultDiagnosis403
Users that are interested in NEUFaultDiagnosis403 are comparing it to the libraries listed below
Sorting:
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆39Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆95Updated 8 months ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆40Updated last year
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆31Updated 2 years ago
- ☆47Updated 8 months ago
- 基于深度学习的机械故障诊断☆38Updated last year
- This repository has open-sourced a dataset of motor failure, including vibration signals and audio signals.(实验室自采多模态电机故障数据,振动信号+声音信号)☆34Updated 2 months ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆33Updated 10 months ago
- WT-planetary-gearbox-datasets☆82Updated 2 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☆37Updated 2 years ago
- code for DFAWnet☆36Updated 2 years ago
- ☆36Updated 3 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆44Updated 2 years ago
- 一种用于复杂工况机械故障检测的GNN方法☆52Updated 2 years ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆36Updated 2 years ago
- This study proposes a high-precision multisensor feature fusion fault diagnosis method. The method is based on the lightweight spatial en…☆15Updated last year
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆24Updated 9 months ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆62Updated 9 months ago
- ☆24Updated 3 years ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆49Updated 9 months ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 4 years ago
- Code sharing of fault diagnosis papers.☆56Updated last year
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆34Updated 2 years ago
- This reposotory release a bearing failure dataset, which can support intelliegnt fault diagnosis research(实验室自采轴承开源数据集,包含稳定转速和时变转速)☆94Updated 7 months ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆61Updated 4 years ago
- ☆21Updated 3 years ago
- ☆38Updated last year
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆19Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆45Updated 3 years ago