Toolset Development for Modelling Sympathetic Phenomenon and its Detection by a Neural Network-Reference-Cited by-同舟云学术

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Toolset Development for Modelling Sympathetic Phenomenon and its Detection by a Neural Network

Published:2023-12-08 Issue: Volume:568 Page:1-6
ISSN:
Container-title:2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON)
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Author:

Galkin Nikolai¹,Yang Chen-Wei¹,Etherden Nicholas²,Bollen Math³,Vyatkin Valeriy³,Wu Yiming⁴

Affiliation:

1. Luleå Tekniska Universitet,Department of Computer Science,Luleå,Sweden

2. Lule˚a Tekniska Universitet,Department of Engineering Sciences,Lule˚a,Sweden

3. Luleå Tekniska Universitet,Department of Electrical Engineering,Skellefteå,Sweden

4. Vattenfall R&D,Solna,Sweden

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10430416/10430420/10431303.pdf?arnumber=10431303

Reference10 articles.

1. General approach for accurate resonance analysis in transformer windings

2. Resonant overvoltages caused by transformer energization and saturation;Sundberg

3. IEC 61850 based smart distribution protection: Solutions for sympathetic tripping

4. New Methodology for Identification of Sympathetic Inrush for a Power Transformer using Wavelet Transform

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