Increasing the Reliability of Diagnosing Power Transformers by Using a Defect Simulator-Reference-Cited by-同舟云学术

Increasing the Reliability of Diagnosing Power Transformers by Using a Defect Simulator

Published:2022-11-16 Issue: Volume: Page:351-357
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Kuznetsov Andrey^ORCID,Harlamov Viktor^ORCID,Volchanina Maria^ORCID,Gorlov Anton^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-11051-1_34

Reference15 articles.

1. Karandaev AS, Evdokimov SA, Sarlybaev AA, Lednov RA (2013) Requirements to the monitoring system of ultrahigh power electric arc furnace transformer performance. Russ Internet J Ind Eng 2:58–68. https://doi.org/10.24892/RIJIE/20130209

2. Karandaev AS, Evdokimov SA, Khramshin VR, Sarlybayev AA (2015) System for real-time monitoring of the technical state of a transformer on an ultrahigh-power electric-arc steelmaking furnace. Metallurgist 58(9–10):872–879. https://doi.org/10.1007/s11015-015-0010-z

3. Khramshin VR, Karandaev AS, Khramshin RR, Evdokimov SA, Sarlybaev AA, Nikolaev AA: Monitoring device for power transformers, RU Patent No. 2615790, Bull. Isobr. No. 1. pub. 11.04.2017

4. Gastelurrutia J, Ramos JC, Larraona GS, Rivas A, Izagirre J, Río L (2011) Numerical modelling of natural convection of oil inside distribution transformers. Appl Therm Eng 4(31):493–505. https://doi.org/10.1016/j.applthermaleng.2010.10.004

5. Taha Ibrahim BM, Dessouky Sobhy S, Ghaly Ramy NR, Ghoneim Sherif SM (2020) Enhanced partial discharge location determination for trans-former insulating oils considering allocations and uncertainties of acoustic measurements. Alex Eng J 6(59):4759–4769. https://doi.org/10.1016/j.aej.2020.08.041