Transformer Fault Diagnosis Technology Based on Maximally Collapsing Metric Learning and Parameter Optimization Kernel Extreme Learning Machine-Reference-Cited by-同舟云学术

Transformer Fault Diagnosis Technology Based on Maximally Collapsing Metric Learning and Parameter Optimization Kernel Extreme Learning Machine

Published:2022-02-14 Issue:5 Volume:17 Page:665-673
ISSN:1931-4973
Container-title:IEEJ Transactions on Electrical and Electronic Engineering
language:en
Short-container-title:IEEJ Transactions Elec Engng

Author:

Han Xiaohui¹,Ma Shifeng¹,Shi Zhewen¹,An Guoqing¹,Du Zhenbin²,Zhao Chunlin³

Affiliation:

1. School of Electrical Engineering Hebei University of Science and Technology Shijiazhuang 050018 China

2. Hebei Provincial Key Laboratory of Electromagnetic and Structural Performance of Power Transmission and Transformation Equipment Baoding Tianwei Baobian Electric Co., Ltd Bao Ding 071056 China

3. Hebei Weixun Electric Power Automation Equipment Co., Ltd Heng Shui 053000 China

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/tee.23554

Reference33 articles.

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3. Feature Selection for Effective Health Index Diagnoses of Power Transformers

4. IEEE guide for the interpretation of gases generated in oil‐immersed transformers.IEEE Standard C57.104–2008 (Revision of IEEE Standard C57.91–1991) 2009; 1–28.

5. Fault Diagnosis of Power Transformers With Membership Degree

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