qinenergy / DA-diagnosis
Code for our paper "Domain adaptive transfer learning for fault diagnosis." 2019 Prognostics and System Health Management Conference (PHM-Paris). IEEE, 2019.
☆22Updated 3 years ago
Alternatives and similar repositories for DA-diagnosis:
Users that are interested in DA-diagnosis are comparing it to the libraries listed below
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆57Updated 3 years ago
- ☆24Updated 2 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆51Updated 3 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆37Updated 2 years ago
- ☆24Updated 3 years ago
- ☆21Updated 2 years ago
- ☆30Updated last year
- ☆45Updated 2 years ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆40Updated 2 years ago
- Hongchun-Qu / Research-and-Application-of-Bearing-Fault-Diagnosis-Based-on-Deep-Encoder-Classification-Model☆13Updated 2 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆26Updated last year
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆56Updated 3 years ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆33Updated 2 years ago
- Fast Random Wavelet Kernel Convolution for Weak-Fault Diagnosis☆28Updated 2 months ago
- ☆22Updated last year
- 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 last year
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated last year
- ☆13Updated 3 years ago
- Transfer learning☆50Updated 3 years ago
- ☆22Updated 2 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆37Updated 2 years ago
- ☆20Updated 2 years ago
- code for DFAWnet☆33Updated last year
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆27Updated last year
- This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.☆46Updated 3 years ago
- ☆33Updated 2 years ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" which published…☆31Updated 4 months ago