mache102 / ma1dcnn-pytorch
PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis" by Wang et al.
☆27Updated last year
Alternatives and similar repositories for ma1dcnn-pytorch
Users that are interested in ma1dcnn-pytorch are comparing it to the libraries listed below
Sorting:
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- 基于深度学习的机械故障诊断☆33Updated last year
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆33Updated 2 years ago
- ☆33Updated 2 years ago
- 一种用于复杂工况机械故障检测的GNN方法☆46Updated last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆38Updated 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☆36Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆75Updated 3 weeks ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆29Updated 2 months ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆57Updated 3 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆34Updated 2 years ago
- case study for remaining useful life estimation☆30Updated last year
- ☆20Updated 2 years ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆56Updated 2 months ago
- 基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)☆52Updated 2 years ago
- ☆31Updated last year
- Transfer learning☆50Updated 3 years ago
- 基于机器学习的机械故障诊断☆18Updated last year
- ☆43Updated last month
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆31Updated last year
- This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric…☆10Updated last year
- ☆45Updated 3 years ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 3 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆38Updated 2 years ago
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆29Updated 8 months ago
- We have developed an innovative deep learning model, PSECNet, for the prediction of bearing Remaining Useful Life (RUL) on the IEEE 2012 …☆28Updated 10 months ago
- Code sharing of fault diagnosis papers.☆48Updated last year