Scallopwang / Rotating-machinery-fault-diagnosis-datasetLinks
It comes from eight universities, Case Western Reserve University(CWRU), Beijing University of Aeronautics and Astronautics(BUAA), Southeast University(SEU), University of Cincinnati(UC), University of Connecticut(UCONN), University of Paderborn,(UPB), Curtin University(CURTIN), and University of Ottawa(uOttawa).
☆21Updated 5 years ago
Alternatives and similar repositories for Rotating-machinery-fault-diagnosis-dataset
Users that are interested in Rotating-machinery-fault-diagnosis-dataset are comparing it to the libraries listed below
Sorting:
- ☆13Updated 4 years ago
- Transfer learning☆52Updated 3 years ago
- ☆23Updated 2 years ago
- ☆45Updated 3 years ago
- ☆25Updated 4 years ago
- ☆21Updated 4 years ago
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆47Updated 3 years ago
- fault_diagnosis☆18Updated 6 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated 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)☆55Updated last month
- ☆23Updated 2 years ago
- deep learning methods for bearing fault diagnosis☆13Updated 6 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆40Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆58Updated 3 years ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆57Updated 3 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆41Updated 2 years ago
- ☆26Updated 2 years ago
- A transfer learning model CoDats applied to fault diagnosis problem☆15Updated 4 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆55Updated 3 years ago
- Condition Based Maintenance Fault Database for Testing of Diagnostic and Prognostics Algorithms☆16Updated 7 months ago
- ☆23Updated 2 years ago
- This is an implementation of “Domain Adaptation for Fault Diagnosis on CWRU Dataset"☆14Updated 3 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆26Updated 5 years ago
- ☆13Updated 3 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆19Updated 5 years ago
- ☆38Updated last year
- ☆98Updated 2 years ago
- ☆108Updated 2 years ago
- Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" which published…☆33Updated 7 months ago