A real-time transformer discharge pattern recognition method based on CNN-LSTM driven by few-shot learning-Reference-Cited by-同舟云学术

A real-time transformer discharge pattern recognition method based on CNN-LSTM driven by few-shot learning

Published:2023-06 Issue: Volume:219 Page:109241
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Zheng Qinghe,Wang Ruoyu,Tian Xinyu,Yu Zhiguo,Wang Hongjun,Elhanashi Abdussalam^ORCID,Saponara Sergio

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference47 articles.

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4. Assessment of computational intelligence and conventional dissolved gas analysis methods for transformer fault diagnosis;Faiz;IEEE Trans. Dielectr. Electr. Insul.,2018

5. Partial discharge detection and diagnosis in gas insulated switchgear: state of the art;Khan;IEEE Electr. Insul. Mag.,2019

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