tinglixie / msf-rescnn-fd
code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"
☆26Updated 2 years ago
Related projects: ⓘ
- ☆19Updated last year
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆39Updated 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☆31Updated last year
- ☆19Updated last year
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆56Updated 4 months ago
- 基于深度学习的机械故障诊断☆21Updated 6 months ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆27Updated last year
- ☆29Updated last year
- code for DFAWnet☆28Updated last year
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆16Updated 9 months ago
- ☆13Updated 3 years ago
- 机械故障诊断公开数据集☆28Updated 9 months ago
- ☆25Updated last year
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆32Updated 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☆24Updated 2 years ago
- ☆10Updated 2 years ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆17Updated last year
- 一种用于复杂工况机械故障检测的GNN方法☆35Updated last year
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆18Updated 10 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆28Updated last year
- Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆22Updated last year
- SQ dataset for fault diagnosis pulished by Xi'an jiaotong University☆12Updated last year
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆22Updated 11 months ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆30Updated last year
- Class-imbalanced Multi-source Information Fusion Transformer-based Neural Networks for Mechanical Fault Diagnosis with Limited Data☆40Updated 5 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
- Hierarchical Multiscale Convolutional Neural Network (HMSCNN) for Fault Diagnosis in Rotating Machinery☆9Updated 11 months ago
- Produce an example using LSTM to predict remaining useful life of machinery☆12Updated 8 months ago
- ☆20Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆21Updated 11 months ago