Hotspot Temperature Prediction of Dry-Type Transformers Based on Particle Filter Optimization with Support Vector Regression

Hotspot Temperature Prediction of Dry-Type Transformers Based on Particle Filter Optimization with Support Vector Regression

Both poor cooling methods and complex heat dissipation lead to prominent asymmetry in transformer temperature distribution. Both the operating life and load capacity of a power transformer are closely related to the winding hotspot temperature. Realizing accurate prediction of the hotspot temperatur...

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Bibliographic Details
Main Authors: Yuanyuan Sun, Gongde Xu, Na Li, Kejun Li, Yongliang Liang, Hui Zhong, Lina Zhang, Ping Liu
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Symmetry
Subjects:
dry-type transformer
overheating fault
hotspot temperature prediction
online monitoring
support vector regression
particle filter
Online Access:https://www.mdpi.com/2073-8994/13/8/1320

Internet

https://www.mdpi.com/2073-8994/13/8/1320

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