☆13Aug 28, 2025Updated 6 months ago
Alternatives and similar repositories for Transfer_Learning_Bearing_Fault
Users that are interested in Transfer_Learning_Bearing_Fault are comparing it to the libraries listed below
Sorting:
- ☆10Apr 2, 2021Updated 4 years ago
- ☆29Apr 30, 2021Updated 4 years ago
- ☆11Dec 18, 2018Updated 7 years ago
- 论文《基于机理模型的旋转机械领域自适应故障诊断》验证案例的代码和数据☆10Jan 5, 2021Updated 5 years ago
- Transfer learning☆62Aug 13, 2021Updated 4 years ago
- Fault Diagnosis of Interturn short circuit of Permanent Magnet Synchronous Motor based on Depth Learning☆20Sep 13, 2018Updated 7 years ago
- ☆23Jul 30, 2022Updated 3 years ago
- Condition Based Maintenance Fault Database for Testing of Diagnostic and Prognostics Algorithms☆19Nov 26, 2024Updated last year
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆56Sep 20, 2021Updated 4 years ago
- ☆12Sep 19, 2022Updated 3 years ago
- ☆22Sep 9, 2020Updated 5 years ago
- It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…☆24Mar 13, 2020Updated 5 years ago
- ☆22Nov 23, 2022Updated 3 years ago
- This project deals with detection and diagnosis of 7 faults of a reciprocating compressor using acoustic signals. After feature extractio…☆15Aug 14, 2022Updated 3 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆61Dec 1, 2021Updated 4 years ago
- This is the Matlab code of the blind deconvolution based on the ratio of cyclic content (BD-RCC). BD-RCC can be used to recover repetitiv…☆24Jun 17, 2021Updated 4 years ago
- ☆13Sep 11, 2022Updated 3 years ago
- Inspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide …☆148Feb 28, 2025Updated last year
- ☆10Jun 18, 2019Updated 6 years ago
- ☆13Jul 22, 2021Updated 4 years ago
- Learning Imbalanced Datasets With Maximum Margin Losss☆12Jun 17, 2023Updated 2 years ago
- imbalanced fault diagnosis☆14Aug 12, 2020Updated 5 years ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Jan 26, 2022Updated 4 years ago
- 基于CNN、特征螺旋排列、奇异值分解、Hankel矩阵的故障诊断方法☆10Oct 16, 2019Updated 6 years ago
- ☆11Mar 10, 2019Updated 6 years ago
- Sources codes of the paper titled "Robust Enhanced Trend Filtering with Unknown Noise".☆18Nov 10, 2020Updated 5 years ago
- A transfer learning model CoDats applied to fault diagnosis problem☆15May 9, 2021Updated 4 years ago
- This is an implementation of “Domain Adaptation for Fault Diagnosis on CWRU Dataset"☆16Oct 15, 2021Updated 4 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆135Jul 13, 2020Updated 5 years ago
- The PyTorch version for 'Domain-adversarial similarity-based meta-learning network'.☆17Apr 8, 2022Updated 3 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆17Sep 29, 2019Updated 6 years ago
- Experiments performed to analyse the CNN on the CWRU data set.☆14Aug 15, 2020Updated 5 years ago
- ☆113Oct 26, 2022Updated 3 years ago
- Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…☆40Jan 13, 2022Updated 4 years ago
- Capsule network for fault diagnosis （胶囊网络用于故障诊断）☆34May 16, 2023Updated 2 years ago
- This repo provides source code for cross-domain machine fault diagnosis using an unsupervised domain adaptation approach (Feature Represe…☆39Dec 25, 2020Updated 5 years ago
- fault_diagnosis☆19Dec 24, 2018Updated 7 years ago
- Code for "Margin-aware Adversarial Domain Adaptation with Optimal Transport" paper☆16Jan 31, 2022Updated 4 years ago
- ☆13May 15, 2021Updated 4 years ago