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Cited article:

Low-Cost Online Partial Discharge Monitoring System for Power Transformers

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Sensors 23 (7) 3405 (2023)
https://doi.org/10.3390/s23073405

On-Line Partial Discharge Monitoring System for Power Transformers Based on the Simultaneous Detection of High Frequency, Ultra-High Frequency, and Acoustic Emission Signals

Wojciech Sikorski, Krzysztof Walczak, Wieslaw Gil and Cyprian Szymczak
Energies 13 (12) 3271 (2020)
https://doi.org/10.3390/en13123271

Twin loop induction sensor for detection Partial discharge

Eka Putra Waldi, Asri Indah Lestari, Rudy Fernandez, et al.
IOP Conference Series: Materials Science and Engineering 846 (1) 012034 (2020)
https://doi.org/10.1088/1757-899X/846/1/012034

Analysis of the spectrum of electromagnetic radiation generated by electrical discharges

Łukasz Nagi, Michał Kozioł and Daria Wotzka
IET Science, Measurement & Technology 13 (6) 812 (2019)
https://doi.org/10.1049/iet-smt.2018.5414

Development of rogowski coil sensor for partial discharge detection

E P Waldi, A Y Frenzi, R Fernandez, et al.
IOP Conference Series: Materials Science and Engineering 602 (1) 012031 (2019)
https://doi.org/10.1088/1757-899X/602/1/012031

Modeling of the Winding Hot-Spot Temperature in Power Transformers: Case Study of the Low-Loaded Fleet

Michał Kunicki, Sebastian Borucki, Andrzej Cichoń and Jerzy Frymus
Energies 12 (18) 3561 (2019)
https://doi.org/10.3390/en12183561