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

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

The effective assessment and prediction of the defect state of transmission lines can provide important technical support for the maintenance management of transmission lines. This paper proposes a method of correlation factors analysis and prediction for transmission line defect state based on asso...

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Bibliographic Details
Main Authors: Xinghua Wang, Zuming Yan, Yongbin Zeng, Xiaoye Liu, Xiangang Peng, Haoliang Yuan
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:Energy Reports
Subjects:
Transmission lines
Association rules
Defect state
Support vector machine
Classification prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484721000597

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http://www.sciencedirect.com/science/article/pii/S2352484721000597

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