Classifying Transformer Winding Fault Type, Location and Extent using FRA based on Support Vector Machine-Reference-Cited by-同舟云学术

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Classifying Transformer Winding Fault Type, Location and Extent using FRA based on Support Vector Machine

Published:2022-01-04 Issue:1 Volume:1 Page:25-35
ISSN:0033-2097
Container-title:PRZEGLĄD ELEKTROTECHNICZNY
language:en
Short-container-title:ELECTROTECHNICAL REVIEW

Author:

Ezziane Hassane

Publisher

Wydawnictwo SIGMA-NOT, sp. z.o.o.

Subject

Electrical and Electronic Engineering

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distribution transformer mechanical faults diagnosis method incorporating cross-domain feature extraction and recognition of unknown-type faults;Measurement;2024-10

2. A Comparative Study of Power Transformer Winding Fault Diagnosis Using Machine Learning Algorithms;2024 32nd Southern African Universities Power Engineering Conference (SAUPEC);2024-01-24

3. A Multi-label Support Vector Machine-based Transformer Fault Prediction Method;2023 26th ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter);2023-07-05

4. The Remaining Life of Distribution Transformer Prediction by Using Neuro-Wavelet Method;PRZEGLĄD ELEKTROTECHNICZNY;2023-02-20

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