load noise
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Author(s):  
Wahyudi Budi Pramono ◽  
F. Danang Wijaya ◽  
Sasongko Pramono Hadi ◽  
Agus Indarto ◽  
Mohammad Slamet Wahyudi

2021 ◽  
pp. 107754632110368
Author(s):  
Booyeong Lee ◽  
Kyuho Lee ◽  
Chuljun Park ◽  
Seokwon Ryu ◽  
Jintai Chung

In this article, we propose a new regression equation to predict the noise of a power transformer based on the winding vibration under a loading condition. A regression between load noises and tank vibrations for multiple transformers with different rated powers was confirmed through measurements and regression analysis. A regression equation for load noise and winding vibration was derived considering the fact that the winding vibration level is proportional to the tank vibration level. The electromagnetic force, which is the excitation force of the winding, was obtained using the equivalent magnetic circuit network method to obtain the winding vibration required for the regression equation. Subsequently, the obtained force was applied to a finite element model for the winding to achieve the vibration response. The winding vibration obtained through these methods is closely correlated with the load noise, and the amount of winding vibration transferred to the tank could be changed according to the distance between the tank and the winding. Accordingly, an equation for predicting the load noise was established considering the winding vibration and the correlation factors according to the distance of the transmission path. The proposed prediction equation is considerably more accurate than the previous prediction equation.


2021 ◽  
Vol 1858 (1) ◽  
pp. 012014
Author(s):  
W B Pramono ◽  
F D Wijaya ◽  
S P Hadi

Author(s):  
Keiko Yoshida ◽  
Takashi Hoshino ◽  
Seiichi Murase ◽  
Hiroshi Murakami ◽  
Tatsuya Miyashita

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 130669-130677
Author(s):  
Dae-Kee Kim ◽  
Jun-Yeol Ryu ◽  
Dong-Min Kim ◽  
Do Jin Kim ◽  
Myung-Seop Lim

2019 ◽  
Vol 1402 ◽  
pp. 033102
Author(s):  
K G H Mangunkusumo ◽  
N W Priambodo ◽  
K M Tofani ◽  
G Supriyadi

2019 ◽  
Vol 109 ◽  
pp. 140-154 ◽  
Author(s):  
Diego Orlando ◽  
Paulo B. Gonçalves ◽  
Giuseppe Rega ◽  
Stefano Lenci

2018 ◽  
Vol 54 (5) ◽  
pp. 4306-4314 ◽  
Author(s):  
Thomas Tanzer ◽  
Helmut Pregartner ◽  
Markus Riedenbauer ◽  
Robert Labinsky ◽  
Michael Witlatschil ◽  
...  

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