Scallopwang / Rotating-machinery-fault-diagnosis-dataset
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).
☆20Updated 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
- Transfer learning☆50Updated 3 years ago
- ☆45Updated 2 years ago
- ☆13Updated 3 years ago
- ☆24Updated 3 years ago
- ☆21Updated 4 years ago
- This is an implementation of “Domain Adaptation for Fault Diagnosis on CWRU Dataset"☆13Updated 3 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 last year
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 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)☆37Updated 2 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆24Updated 5 years ago
- 基于迁移学习DANN模型，对不同工况轴承进行故障诊断☆41Updated 3 years ago
- ☆10Updated 6 years ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆33Updated 2 years ago
- ☆13Updated 2 years ago
- Condition Based Maintenance Fault Database for Testing of Diagnostic and Prognostics Algorithms☆16Updated 4 months ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆56Updated 3 years ago
- deep learning methods for bearing fault diagnosis☆13Updated 6 years ago
- ☆24Updated 2 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆50Updated 3 years ago
- ☆22Updated 2 years ago
- 基于迁移学习 的离心泵滚动轴承故障自动识别方法研究☆15Updated 4 years ago
- fault_diagnosis☆18Updated 6 years ago
- ☆33Updated 2 years ago
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆44Updated 3 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆18Updated last year
- 迁移学习(故障诊断)上的一点探索☆13Updated 4 years ago
- wdcnn model for bearing fault diagnosis☆32Updated 5 years ago
- ☆26Updated 2 years ago
- ☆23Updated 2 years ago