Automatic diagnostic of transmission lines based on ultraviolet inspection

Evaluation of the technical condition, reliability of the insulation of electrical equipment is an actual problem. It is confirmed by experience and statistics of operation at power plants and railway facilities. The combination of an unmanned aerial vehicle with UV-camera and software based on neur...

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Main Authors: Nguyen Phuong, Dudkin Sergey, Kong Chenzai
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/66/e3sconf_eece18_07008.pdf
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spelling doaj-c5a612da7afc43599c087236111eb0b72021-02-02T04:45:17ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011400700810.1051/e3sconf/201914007008e3sconf_eece18_07008Automatic diagnostic of transmission lines based on ultraviolet inspectionNguyen Phuong0Dudkin Sergey1Kong Chenzai2Peter the Great St. Petersburg Polytechnic University, Electrical DepartmentPeter the Great St. Petersburg Polytechnic University, Electrical DepartmentXi’an University of Science and Technology, Electrical departmentEvaluation of the technical condition, reliability of the insulation of electrical equipment is an actual problem. It is confirmed by experience and statistics of operation at power plants and railway facilities. The combination of an unmanned aerial vehicle with UV-camera and software based on neural networks allows us to effectively diagnose long power lines. To increase the effectiveness of non-contact inspection of power lines, especially in hard-to-reach areas, more compact mobile solutions should be used which include an UV-camera and an unmanned aerial vehicle (UAV). The aircraft market currently has significant growth, that allows to bring the diagnostic experience to a new level by attaching an UV-camera to an aerial device, which will have a tremendous effect on examining long power lines. But we faced one problem related to the absence of any scientific basis for this method of examination, so it was decided to conduct experiments in a laboratory of St. Petersburg Polytechnic University. The results of experiments are presented in the work.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/66/e3sconf_eece18_07008.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Nguyen Phuong
Dudkin Sergey
Kong Chenzai
spellingShingle Nguyen Phuong
Dudkin Sergey
Kong Chenzai
Automatic diagnostic of transmission lines based on ultraviolet inspection
E3S Web of Conferences
author_facet Nguyen Phuong
Dudkin Sergey
Kong Chenzai
author_sort Nguyen Phuong
title Automatic diagnostic of transmission lines based on ultraviolet inspection
title_short Automatic diagnostic of transmission lines based on ultraviolet inspection
title_full Automatic diagnostic of transmission lines based on ultraviolet inspection
title_fullStr Automatic diagnostic of transmission lines based on ultraviolet inspection
title_full_unstemmed Automatic diagnostic of transmission lines based on ultraviolet inspection
title_sort automatic diagnostic of transmission lines based on ultraviolet inspection
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2019-01-01
description Evaluation of the technical condition, reliability of the insulation of electrical equipment is an actual problem. It is confirmed by experience and statistics of operation at power plants and railway facilities. The combination of an unmanned aerial vehicle with UV-camera and software based on neural networks allows us to effectively diagnose long power lines. To increase the effectiveness of non-contact inspection of power lines, especially in hard-to-reach areas, more compact mobile solutions should be used which include an UV-camera and an unmanned aerial vehicle (UAV). The aircraft market currently has significant growth, that allows to bring the diagnostic experience to a new level by attaching an UV-camera to an aerial device, which will have a tremendous effect on examining long power lines. But we faced one problem related to the absence of any scientific basis for this method of examination, so it was decided to conduct experiments in a laboratory of St. Petersburg Polytechnic University. The results of experiments are presented in the work.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/66/e3sconf_eece18_07008.pdf
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AT dudkinsergey automaticdiagnosticoftransmissionlinesbasedonultravioletinspection
AT kongchenzai automaticdiagnosticoftransmissionlinesbasedonultravioletinspection
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