A Novel Dual-Stage Semi-Supervised Learning Model for Fault Diagnosis in Transformers with Limited Imbalanced Labeled Data

IF 2.9 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Dielectrics and Electrical Insulation Pub Date : 2024-09-10 DOI:10.1109/tdei.2024.3456777

Yanfei Sun, Tao Zhao, Shuguo Gao

引用次数: 0

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利用有限的不平衡标记数据进行变压器故障诊断的新型双阶段半监督学习模型

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Dielectrics and Electrical Insulation 工程技术-工程：电子与电气

CiteScore

6.00

自引率

22.60%

发文量

309

审稿时长

5.2 months

期刊介绍： Topics that are concerned with dielectric phenomena and measurements, with development and characterization of gaseous, vacuum, liquid and solid electrical insulating materials and systems; and with utilization of these materials in circuits and systems under condition of use.