Research on transformer fault diagnosis: Based on improved firefly algorithm optimized LPboost–classification and regression tree-Reference-Cited by-同舟云学术

Research on transformer fault diagnosis: Based on improved firefly algorithm optimized LPboost–classification and regression tree

Published:2021-06-22 Issue:20 Volume:15 Page:2926-2942
ISSN:1751-8687
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET gener. transm. distrib.

Author:

Zhang Xiaoxing¹,Fang Rongxing¹,Zhang Guozhi¹,Fang Yaqi¹,Zhou Xiu²,Ma Yunlong²,Wang Kun¹,Chen Kang¹

Affiliation:

1. Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment Hubei University of Technology Wuhan 430068 P.R. China

2. State Grid Ningxia Electric Power Research Institute Yinchuan 750002 China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/gtd2.12229

Reference45 articles.

1. Optimization of transformer oil blended with natural ester oils using Taguchi-based grey relational analysis

2. Study on localization of transformer partial discharge source with planar arrangement UHF sensors based on singular value elimination

3. Power Transformer Condition Assessment Using DGA and FRA

4. Assessment of computational intelligence and conventional dissolved gas analysis methods for transformer fault diagnosis

5. Development of a new graphical technique for dissolved gas analysis in power transformers based on the five combustible gases

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5. Erratum: Research on transformer fault diagnosis: Based on improved firefly algorithm optimized LPboost–classification and regression tree;IET Generation, Transmission & Distribution;2021-10-24