Research on correlation factor analysis and prediction method of overhead transmission line defect state based on association rule mining and RBF-SVM

Author:

Wang Xinghua,Yan ZumingORCID,Zeng Yongbin,Liu Xiaoye,Peng Xiangang,Yuan Haoliang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Energy

Reference21 articles.

1. Developments of power system protection and control;Zhiqian;Prot Control Mod Power Syst,2016

2. Cause analysis of the abnormal heating defect in composite insulators operated in 500 kv nuclear power plant-huizhou transmission line;Zhiwei;Southen Power Syst Technol,2018

3. Fault detection and identification of transformer based on dynamical network marker model of dissolved gas in oil;Yan;Trans China Electrotech Soc,2020

4. Partial discharge characteristics of cavity defect in nomex insulation for dry type transformer;Jiancheng;High Volt Eng,2018

5. Establishment of key parameter system for condition evaluation of transmission line based on association rules and principal component analysis;Yingjie;High Volt Eng,2015

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