anshulkulhari7 / Bearing-Fault-Diagnosis-using-Transfer-LearningLinks
☆28Updated 4 years ago
Alternatives and similar repositories for Bearing-Fault-Diagnosis-using-Transfer-Learning
Users that are interested in Bearing-Fault-Diagnosis-using-Transfer-Learning are comparing it to the libraries listed below
Sorting:
- ☆47Updated 3 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆56Updated 4 years ago
- Transfer learning☆61Updated 4 years ago
- ☆22Updated 5 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)☆68Updated 6 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆44Updated 2 years ago
- ☆108Updated 2 years ago
- ☆22Updated 3 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆40Updated 2 years ago
- ☆27Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆61Updated 4 years ago
- ☆23Updated 2 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆44Updated 3 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling (pytorch)☆46Updated 3 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆96Updated 3 years ago
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆118Updated last year
- It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…☆23Updated 5 years ago
- ☆13Updated 3 months ago
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆48Updated 3 years ago
- A few shot learning repository for bearing fault diagnosis.☆103Updated 2 years ago
- A transfer learning model CoDats applied to fault diagnosis problem☆15Updated 4 years ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆36Updated 2 years ago
- Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" (MLDSO) which p…☆33Updated last year
- Code for our paper "Domain adaptive transfer learning for fault diagnosis." 2019 Prognostics and System Health Management Conference (PHM…☆23Updated 3 years ago
- ☆36Updated 3 years ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆62Updated 10 months ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆61Updated 3 years ago
- zggg1p / A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-NeuInspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide …☆144Updated 9 months ago
- ☆14Updated 3 years ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆44Updated 2 years ago