Improvement of Power Transformer Faults Diagnosis Using Random Search with Classification and Regression Tree-Reference-Cited by-同舟云学术

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Improvement of Power Transformer Faults Diagnosis Using Random Search with Classification and Regression Tree

Published:2023-03-23 Issue: Volume: Page:
ISSN:
Container-title:2023 5th Asia Energy and Electrical Engineering Symposium (AEEES)
language:
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Author:

Wang Tonglei¹,Yang Jinggang¹,Shao Jian¹,Wu Peng¹,Ma Yong¹,Liang Jiabi¹

Affiliation:

1. State Grid Jiangsu Electric Power Research Institute,Nanjing,China

Funder

Electric Power Research Institute

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10113858/10114069/10114139.pdf?arnumber=10114139

Reference18 articles.

1. Classification and Regression Trees;li;Biometrics,1984

2. Machine learning tools in support of transformer diagnostics;cheim;CIGRE,2018

3. Exploring Strategies for Training Deep Neural Networks;larochelle;Journal of Machine Learning Research,2009

4. Random search for hyper-parameter optimization;bergstra;Journal of Machine Learning Research,2012

5. An intelligent system based on optimized ANFIS and association rules for power transformer fault diagnosis

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