Optimization of Losses in a Three-Phase Transformer Design with Inrush Current Analysis

2018 ◽  
Vol 29 (6) ◽  
pp. 778-795
Author(s):  
Adelicio Maximiano Sobrinho ◽  
José Roberto Camacho ◽  
Juliana Almansa Malagoli ◽  
Ana Camila Ferreira Mamede
1986 ◽  
Vol 133 (1) ◽  
pp. 31 ◽  
Author(s):  
R. Yacamini ◽  
A. Abu-Nasser
Keyword(s):  

1981 ◽  
Vol 101 (3) ◽  
pp. 56-64 ◽  
Author(s):  
Hironori Amano ◽  
Kazumi Okuno

2013 ◽  
Vol 569-570 ◽  
pp. 481-488
Author(s):  
Jin Jiang Wang ◽  
Robert X. Gao ◽  
Ru Qiang Yan

This paper presents a new approach for bearing defect diagnosis in induction motor by taking advantage of three-phase stator current analysis based on Concordia transform. The current signature caused by bearing defect is firstly analyzed using an analytic model. Concordia transform is performed to extract the instantaneous frequency based on phase demodulation. The bearing defect feature is then identified via spectrum analysis of the variation of current instantaneous frequency. Both simulation and experimental studies are performed to demonstrate the effectiveness of proposed method in identifying bearing defects. The method is inherently low cost, non-invasive, and computational efficient, making it a good candidate for various applications.


2017 ◽  
Vol 2017 ◽  
pp. 1-6
Author(s):  
Maofa Gong ◽  
Ran Zheng ◽  
Linyuan Hou ◽  
Jingyu Wei ◽  
Na Wu

Magnetizing inrush current can lead to the maloperation of transformer differential protection. To overcome such an issue, a method is proposed to distinguish inrush current from inner fault current based on box dimension. According to the fundamental difference in waveform between the two, the algorithm can extract the three-phase current and calculate its box dimensions. If the box dimension value is smaller than the setting value, it is the inrush current; otherwise, it is inner fault current. Using PSACD and MATLAB, the simulation has been performed to prove the efficiency reliability of the presented algorithm in distinguishing inrush current and fault current.


Energies ◽  
2017 ◽  
Vol 10 (5) ◽  
pp. 713 ◽  
Author(s):  
Shiying Zhou ◽  
Xudong Zou ◽  
Donghai Zhu ◽  
Li Tong ◽  
Yong Kang

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