Research on automatic location and recognition of insulators in substation based on YOLOv3-Reference-Cited by-同舟云学术

Research on automatic location and recognition of insulators in substation based on YOLOv3

Published:2020-02 Issue:1 Volume:5 Page:62-68
ISSN:2397-7264
Container-title:High Voltage
language:en
Short-container-title:High Voltage

Author:

Liu Yunpeng¹,Ji Xinxin¹,Pei Shaotong¹,Ma Ziru¹,Zhang Gonghao¹,Lin Ying²,Chen Yufeng²

Affiliation:

1. Hebei Provincial Key Laboratory of Power TransmissionEquipment Security Defense, North China Electric Power UniversityYonghua North Street 619Baoding CityPeople'sRepublic of China

2. State Grid Corp of China Shandong Electric Power Research InstituteNo. 1 South Second Ring Road, City DistrictJinanPeople's Republic of China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/hve.2019.0091

Reference24 articles.

1. Fault detection, classification and location for transmission lines and distribution systems: a review on the methods

2. Review on applications of artificial intelligence driven data analysis technology in condition based maintenance of power transformers;Liu Y.;High Volt. Eng.,2019

3. Methodology to locate and quantify radial winding deformation in power transformers

4. Analysis of integrated management and control of operation, maintenance and maintenance of substation equipment;Zhu S.;Electr. Age,2015

5. Heating characteristics of deteriorated porcelain insulator under different humidities;Liu Y.;High Volt. Eng.,2018

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