Convolutional sparse filter with data and mechanism fusion: A few-shot fault diagnosis method for power transformer-Reference-Cited by-同舟云学术

Convolutional sparse filter with data and mechanism fusion: A few-shot fault diagnosis method for power transformer

Published:2023-09 Issue: Volume:124 Page:106606
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Qin Jia^ORCID,Yang Dongsheng^ORCID,Wang Nan,Ni Xueqing

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference50 articles.

1. Power transformer dissolved gas analysis through Bayesian networks and hypothesis testing;Aizpurua;IEEE Trans. Dielectr. Electr. Insul.,2018

2. IEEE Guide for the Interpretation of Gases Generated in Oil-Immersed Transformers;Anon,2009

3. Mineral oil-filled electrical equipment in service. Guidance on the inter-pretation of dissolved and free gases analysis [Electronic Resource], B.EN, document 60599;Anon,2016

4. Wasserstein GAN;Arjovsky,2017

5. Power transformer fault diagnosis based on dissolved gas analysis by support vector machine;Bacha;Electr. Power Syst. Res.,2012

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