Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mehdi Bigdeli"'
Publikováno v:
IEEE Access, Vol 9, Pp 13981-13991 (2021)
With the expansion of the use of frequency response analysis (FRA) as a reliable tool for fault detection in transformers, more capabilities of this method are discovered every day. So that today the number of transformer faults that can be identifie
Publikováno v:
High Voltage (2020)
© 2020 BMJ Publishing Group. All rights reserved. Short circuit fault occurrence in high-voltage DC (HVDC) systems causes extremely high currents in a fast raising time that does not experience current zero-crossing. To protect HVDC systems/grids ag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::537d9b68a40769a0c8853cb0ef06bdc2
https://hdl.handle.net/10453/144846
https://hdl.handle.net/10453/144846
Autor:
Davood Azizian, Mehdi Bigdeli
Publikováno v:
Archives of Electrical Engineering, Vol 66, Iss 1, Pp 17-28 (2017)
Thermal modeling in the transient condition is very important for cast-resin dry-type transformers. In the present research, two novel dynamic thermal models have been introduced for the cast-resin dry-type transformer. These models are based on two
Publikováno v:
Journal of Operation and Automation in Power Engineering, Vol 4, Iss 1, Pp 83-92 (2016)
Nowadays, the most generated electrical energy is consumed by three-phase induction motors. Thus, in order to carry out preventive measurements and maintenances and eventually employing high-efficiency motors, the efficiency evaluation of induction m
Autor:
Jafar Aghajanloo, Mehdi Bigdeli
Publikováno v:
Archives of Electrical Engineering, Vol 65, Iss 1, Pp 45-57 (2016)
Transformers are one of the most important components of the power system. It is important to maintain and assess the condition. Transformer lifetime depends on the life of its insulation and insulation life is also strongly influenced by moisture in
Publikováno v:
Advances in Electrical and Computer Engineering, Vol 11, Iss 2, Pp 23-30 (2011)
1 Abstract—Transfer function (TF) is an acknowledged method for power transformer mechanical faults detection. However the past published works mostly discovered how to specify the faults levels and paid less attention to detection of the type of f