A Method Based on Multi-Network Feature Fusion and Random Forest for Foreign Objects Detection on Transmission Lines

A Method Based on Multi-Network Feature Fusion and Random Forest for Foreign Objects Detection on Transmission Lines

Foreign objects such as kites, nests and balloons, etc., suspended on transmission lines may shorten the insulation distance and cause short-circuits between phases. A detection method for foreign objects on transmission lines is proposed, which combines multi-network feature fusion and random fores...

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Bibliographic Details
Main Authors: Yanzhen Yu, Zhibin Qiu, Haoshuang Liao, Zixiang Wei, Xuan Zhu, Zhibiao Zhou
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
transmission lines
foreign object detection
feature fusion
random forest
convolutional neural network
Online Access:https://www.mdpi.com/2076-3417/12/10/4982

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