袁嘉玮
- 助理教授
- Supervisor of Doctorate Candidates
- Supervisor of Master's Candidates
- E-Mail:
- Date of Employment:2024-01-26
- Professional Title:助理教授
- Status:Employed
- College:School Of Electrical Engineering
- Discipline:Electrical Engineering
- Papers
- .Jiawei Yuan, Xuan Dong, Xintong Liu, Yueming Ji, Qiyang Wang, Xi Chen, Zaibin Jiao.Faulty Feeder Detection for Successive Single Phase-to-Ground Faults Based on Complete Waveform Recognition and Segmentation Evaluation,2025
- .Jiawei Yuan, Lifeng Xing, Mingjun Xue, Qi Chen, Bing Hu, Xi Chen, Jun Liu, Zaibin Jiao.A Highly Reliable Image-Recognition-Based Intelligent Fault Detection Method for Feeders Using Fully Convolutional Generative Adversarial Network,2025
- .Jiawei Yuan, Chuan Feng, Yueming Ji, Xintong Liu, Xuan Dong, Jun Liu, Zaibin Jiao.Faulty Feeder Detection for Successive Single Phase-to-Ground Faults Based on Line Model Recognition and Correlation Comparison,2024
- .袁嘉玮，焦在滨.基于零序信号全波形识别的小电流接地系统故障选线方法,2024,卷 48, 期 2:页 839 - 850
- .Yuan Jiawei, Wu Tong, Jiao Zaibin.Faulty feeder detection based on sparse waveform encoding and simple convolutional neural network with multiscale filters and one layer of convolution,2023
- .Yuan Jiawei, Jiao Zaibin.Faulty Feeder Detection for Single Phase-to-Ground Faults in Distribution Networks Based on Waveform Encoding and Waveform Segmentation,2023,Volume: 14, Issue: 5:4100 - 4115
- .Yuan Jiawei, Jiao Zaibin.Faulty feeder detection for single phase-to-ground faults in distribution networks based on patch-to-patch CNN and feeder-to-feeder LSTM,2022,Volume: 147
- .Yuan Jiawei, Jiao Zaibin.Faulty feeder detection based on image recognition of current waveform superposition in distribution networks,2022,Volume: 130
- .Yuan Jiawei, Hu Yanjie, Liang Yonghui, Jiao Zaibin.Faulty feeder detection for single line-to-ground fault in distribution networks with DGs based on correlation analysis and harmonics energy,2022,Volume: 38, Issue: 2:1020 - 1029
- .Yuan Jiawei, Wu Tong, Hu Yanjie, Jiao Zaibin.Faulty feeder detection based on image recognition of voltage-current waveforms in non-effectively grounded distribution networks,2022,Volume: 143