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…☆83Updated 5 months ago
- 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☆36Updated 2 years 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)☆36Updated last year
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆31Updated 7 months ago
- code for DFAWnet☆36Updated 2 years ago
- WT-planetary-gearbox-datasets☆70Updated last year
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- 一种用于复杂工况机械故障检测的GNN方法☆48Updated 2 years ago
- ☆45Updated 5 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated 2 years ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆60Updated 6 months ago
- ☆20Updated 2 years ago
- Code sharing of fault diagnosis papers.☆51Updated last year
- Variance discrepancy representation: A vibration characteristic-guided distribution alignment metric for fault transfer diagnosis☆23Updated last year
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆31Updated last year
- ☆34Updated 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☆35Updated 2 years ago
- Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" (MLDSO) which p…☆34Updated 9 months ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆64Updated last year
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆43Updated 6 months ago
- 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)☆22Updated last year
- Official repository for the paper "Few‐shot multiscene fault diagnosis of rolling bearing under compound variable working conditions"☆15Updated 3 weeks ago
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆19Updated 6 months ago
- ☆23Updated 2 years ago
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆30Updated last year
- This study proposes a high-precision multisensor feature fusion fault diagnosis method. The method is based on the lightweight spatial en…☆14Updated 9 months ago
- ☆38Updated last year
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 4 years ago