anshulkulhari7 / Bearing-Fault-Diagnosis-using-Transfer-LearningLinks
☆24Updated 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:
- Transfer learning☆50Updated 3 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆52Updated 3 years ago
- ☆45Updated 3 years ago
- ☆25Updated 2 years ago
- 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
- 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)☆53Updated 2 years ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆58Updated 3 months ago
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆46Updated 3 years ago
- ☆21Updated 4 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆29Updated last year
- ☆33Updated 2 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆34Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆57Updated 3 years ago
- ☆22Updated 2 years ago
- Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" which published…☆32Updated 5 months ago
- This reposotory release a bearing failure dataset, which can support intelliegnt fault diagnosis research（实验室自采轴承开源数据集，包含稳定转速和时变转速）☆65Updated last week
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆30Updated 9 months ago
- ☆26Updated 2 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆39Updated 2 years ago
- It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southe…☆21Updated 5 years ago
- A few shot learning repository for bearing fault diagnosis.☆88Updated last year
- Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…☆34Updated 3 years ago
- This is an implementation of “Domain Adaptation for Fault Diagnosis on CWRU Dataset"☆13Updated 3 years ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆43Updated 3 months ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆40Updated 2 years ago
- Maximum mean square discrepancy: A new discrepancy representation metric for mechanical fault transfer diagnosis☆29Updated last year
- Hierarchical Multiscale Convolutional Neural Network (HMSCNN) for Fault Diagnosis in Rotating Machinery☆8Updated last year
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year