Open Access
| Issue |
E3S Web Conf.
Volume 260, 2021
2021 International Conference on Advanced Energy, Power and Electrical Engineering (AEPEE2021)
|
|
|---|---|---|
| Article Number | 02013 | |
| Number of page(s) | 5 | |
| Section | Power Electronics Technology and Application | |
| DOI | https://doi.org/10.1051/e3sconf/202126002013 | |
| Published online | 19 May 2021 | |
- Wang Mengyun. Statistical analysis of 110kV and above transformer accidents in 2004 [J]. Power equipment, 2005 (11): 35-41. [Google Scholar]
- Liu Song. Measurement of magnetic properties and analysis of electromagnetic vibration and noise of transformer core materials [D]. Tianjin University of technology, 2019. [Google Scholar]
- Huang Zhiming, Wang Qiao, Zhang Yifan, Jing Yi, fuminli, Zhuoren, Luo Yan, Feng Feng, Ning Wenjun. Simulation analysis of stress and vibration characteristics of 500 kV connecting transformer under harmonic condition [j]. High voltage electrical apparatus, 2019,55 (11): 86-92. [Google Scholar]
- Yi Feng, Liang Jian, Xu Wei, Gao Zhixin, Ma Guoqing. Analysis on abnormal partial discharge of 500 kV Transformer [J]. Shandong electric power technology, 2020,47(08): 10-13. [Google Scholar]
- Wang Zezhong, Li Bing, Liu Haibo, Li Haiming, Meng Hui. Experimental study on vibration and noise of 500kV single phase transformer under DC bias [J/OL]. Acta electrotechnics Sinica,2020: 1-11. [Google Scholar]
- Li Dajian, Yu Changting, Chen Liangyuan, Yan Haijun. Statistical analysis of vibration characteristics of power transformers with different voltage levels [J]. High voltage apparatus, 2019,55 (11): 118-125. [Google Scholar]
- Wei, J. Fan, L. Zhiyuan, W.et al. Transformer Partial Discharge Detection Using Electrical- Ultrasonic Technology[C]. 2012. [Google Scholar]
- Chen Yongshuai. Research on intelligent noise control system of power transformer [D]. Shandong University, 2020. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.