mache102 / ma1dcnn-pytorchLinks
PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis" by Wang et al.
☆30Updated 2 years ago
Alternatives and similar repositories for ma1dcnn-pytorch
Users that are interested in ma1dcnn-pytorch 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
- 基于深度学习的机械故障诊断☆36Updated last year
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆44Updated 2 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆41Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆92Updated 6 months ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆36Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆62Updated 3 years ago
- Code sharing of fault diagnosis papers.☆51Updated last year
- ☆21Updated 2 years 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)☆64Updated 5 months ago
- ☆36Updated 2 years ago
- code for DFAWnet☆36Updated 2 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆56Updated 4 years ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆32Updated 9 months ago
- ☆46Updated 3 years ago
- A few shot learning repository for bearing fault diagnosis.☆101Updated 2 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆46Updated 8 months ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis (故障诊断)☆40Updated last year
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆45Updated 3 years ago
- case study for remaining useful life estimation☆34Updated last year
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆62Updated 8 months ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆66Updated last year
- 机械故障诊断公开数据集☆68Updated last year
- 一种用于复杂工况机械故障检测的GNN方法☆51Updated 2 years ago
- ☆24Updated 2 years ago
- The intelligent fault diagnosis of HNU IDG☆117Updated 3 years ago
- 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
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆32Updated 2 years ago