Research on Magnetizing Inrush Current and Fault Identification of Transformer Based on Wavelet Analysis-Reference-Cited by-同舟云学术

Research on Magnetizing Inrush Current and Fault Identification of Transformer Based on Wavelet Analysis

Published:2023-10-11 Issue: Volume: Page:
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Container-title:2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT)
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Author:

Wang Enlong¹,Bai Jing²,Liu Hongtao¹

Affiliation:

1. Northwest Minzu University,Gansu Engineering Research Center for Eco-Environmental Intelligent Networking,School of Electrical Engineering,Lanzhou,China

2. Shenyang Institute of Technology,School of Information and Control,Shenyang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10351493/10351494/10351530.pdf?arnumber=10351530

Reference7 articles.

1. A new scheme for inrush identification in transformer protection

2. A summary of the method for judging the transformer magnetizing inrush current [J];Lijie;China New Technology and New Products,2009

3. Analysis of transformer differential protection based on the principle of waveform symmetry[J];Yuntao;Electronics Manufacturing,2018

4. Experimental testing of the artificial neural network based protection of power transformers

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1. An Experimental Set-up Involving Low-cost Digital Controller to Study the Magnetizing Inrush Current in a Transformer using Point-on-Wave Switching Technique;Power Electronics and Drives;2024-01-01

2. Transformer Inrush Current and Internal Fault Discrimination Using Multitypes of Convolutional Neural Network Techniques;Journal of Electrical and Computer Engineering;2024-01