Results 21 to 30 of about 16,788,383 (287)

Modular High-Frequency High-Power Transformers for Offshore Wind Turbines

, 2021
Conventional line frequency transformers are commonly used for wind turbines to step up the low-level voltage of the generators to reduce the transmission losses.
Weichong Yao, Yao, W, Parveen, T, Seagar, A, Tania Parveen, Lu, J, Andrew Seagar, Junwei Lu   +7 more
core   +1 more source

Semi-analytical calculation method for parasitic capacitance of high-frequency transformers based on partitioned solution [PDF]

AIP Advances
The parasitic capacitance of the windings significantly affects the transmission characteristics of high-frequency transformers, and its accurate calculation is crucial for the optimal design of transformers.
Yongjian Li, Jinghao Liu, Zhenyu Wan, Shuaichao Yue, Zhenghua Cao, Bin Chen   +5 more
doaj   +1 more source

Leakage Inductance Reduction Using the Interleaved Winding Technique in High-Frequency Toroidal Transformers

International Journal of Technology
High leakage inductance in transformers is the main cause of excessive voltage spikes and ringing waveforms in dc-dc converters. Therefore, reducing leakage inductance is important in the design of power electronic devices.
Dody Yunus Putra Siregar, Wijono, Muhammad Aziz Muslim   +2 more
doaj   +1 more source

A frequency-based RF partial discharge detector for low-power wireless sensing [PDF]

, 2010
Partial discharge (PD) monitoring has been the subject of significant research in recent years, which has given rise to a range of well-established PD detection and measurement techniques, such as acoustic and RF, on which condition monitoring systems ...
Baker, P.C., Judd, M.D., McArthur, S.D.J.   +2 more
core   +4 more sources

Calculation Model of Parasitic Capacitance for High-Frequency Inductors and Transformers

IEEE Access, 2023
With high power density and high-frequency power electronics technologies, parasitic capacitances of inductors and transformers have been widely discussed, in which parasitic capacitance may lead to electromagnetic interference (EMI) and efficiency ...
Yujie Lan, Lei Yang, Xu Zhang, Qingbin Chen, Zaiping Zheng   +4 more
doaj   +1 more source

Multi-objective GPR-based design optimization of high frequency transformers

Power Electronic Devices and Components
FEA-based design optimization of high frequency transformers (HTSs) are by far more accurate but they come at huge computational cost. This paper presents a Gaussian Process Regression-based multiobjective design optimization technique for HFTs.
Temitayo O. Olowu, Milad Behnamfar, Olusola T. Odeyomi, Arif I. Sarwat   +3 more
doaj   +1 more source

Analysis and research on the fault-tolerant performance of the high-frequency isolated energy conversion link for an integrated distribution transformer system

The Journal of Engineering, 2019
In order to enhance the stability of the integrated distribution transformer system (IDTS), a fault-tolerant topology of the high-frequency (HF) isolated energy conversion link which features a multi-winding HF transformer and two multi-arm converters ...
Qingshan Wang, Deliang Liang, Yibin Liu, Qixu Chen, Mingkang Zhang   +4 more
doaj   +1 more source

Field-Balanced Windings for High-Frequency Transformers

IEEE Open Journal of Power Electronics
High-frequency operation is a well-established strategy for miniaturizing power converters, but eddy-current losses in magnetics thermally limit its effectiveness in high-power converters. Interleaved windings, which reduce the magnetic fields around the
Hans Wouters, Wout Vanderwegen, Thomas Jochmans, Piotr Puskarczyk, Marek Rylko, Wilmar Martinez   +5 more
doaj   +1 more source

Research on deep exploiting technology of power transformer load capacity

Zhejiang dianli, 2022
Exploiting the load capacity of operating transformers is an important measure to ensure the safe operation of the power grid under emergency load conditions.
HE Wenlin, SHAO Xianjun
doaj   +1 more source

Improving Vision Transformers by Revisiting High-Frequency Components

, 2022
The transformer models have shown promising effectiveness in dealing with various vision tasks. However, compared with training Convolutional Neural Network (CNN) models, training Vision Transformer (ViT) models is more difficult and relies on the large-scale training set.
Jiawang Bai, Li Yuan 0007, Shu-Tao Xia, Shuicheng Yan, Zhifeng Li 0001, Wei Liu 0005   +5 more
openaire   +3 more sources