liguge / FWA-DBN-ELM-for-intelligent-fault-diagnosis
FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断
☆26Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for FWA-DBN-ELM-for-intelligent-fault-diagnosis
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆42Updated 3 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆27Updated 2 years ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆41Updated 4 years ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆17Updated last year
- 机械故障诊断公开数据集☆36Updated 11 months ago
- 基于深度学习的机械故障诊断☆25Updated 8 months ago
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆12Updated 2 years ago
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆34Updated 3 years ago
- ☆28Updated last year
- : Faulty and healthy gear box Data sets need to be analyzed in detail. Here, we created this dataset for those who do research in wind tu…☆40Updated 6 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☆31Updated last year
- Use Paderborn data and HIilbert theory to diagnosis the fault of rolling bear with MATLAB.☆19Updated 2 years ago
- WT-planetary-gearbox-datasets☆52Updated 6 months ago
- code for DFAWnet☆30Updated last year
- 论文“时变转速下基于改进图注意力网络的轴承半监督故障诊断”源码☆25Updated 2 years ago
- Transfer learning☆47Updated 3 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆30Updated last year
- ☆92Updated 2 years ago
- Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆22Updated last year
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆30Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆32Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆64Updated 6 months ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆53Updated 2 years ago
- SQ dataset for fault diagnosis pulished by Xi'an jiaotong University☆13Updated 2 years ago
- Fault Diagnosis on Bearing Dataset☆32Updated 4 years ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆31Updated last year
- Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)☆15Updated 4 years ago
- Class-imbalanced Multi-source Information Fusion Transformer-based Neural Networks for Mechanical Fault Diagnosis with Limited Data☆40Updated 7 months ago
- MATLAB codes for "Frequency Estimation of Vibration Signals: An Subspace Approach for Bearing Fault Diagnosis"☆19Updated last year
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆21Updated last year