{"title":"通过深度学习方法使用无人机和热像仪检测配电网络中的潜在故障","authors":"Kadir Ertunç, Yüksel Oğuz","doi":"10.1080/15325008.2024.2319325","DOIUrl":null,"url":null,"abstract":"In this article, a software-based unmanned aerial vehicle (UAV) prototype has been developed for exploration purposes, replacing the current manual inspection of energy transmission lines (ETLs) by...","PeriodicalId":50548,"journal":{"name":"Electric Power Components and Systems","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection of Potential Faults in the Electricity Distribution Network Using Unmanned Aerial Vehicles and Thermal Cameras Through Deep Learning Methods\",\"authors\":\"Kadir Ertunç, Yüksel Oğuz\",\"doi\":\"10.1080/15325008.2024.2319325\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, a software-based unmanned aerial vehicle (UAV) prototype has been developed for exploration purposes, replacing the current manual inspection of energy transmission lines (ETLs) by...\",\"PeriodicalId\":50548,\"journal\":{\"name\":\"Electric Power Components and Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electric Power Components and Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/15325008.2024.2319325\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electric Power Components and Systems","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/15325008.2024.2319325","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Detection of Potential Faults in the Electricity Distribution Network Using Unmanned Aerial Vehicles and Thermal Cameras Through Deep Learning Methods
In this article, a software-based unmanned aerial vehicle (UAV) prototype has been developed for exploration purposes, replacing the current manual inspection of energy transmission lines (ETLs) by...
期刊介绍：
Electric Power Components and Systems publishes original theoretical and applied papers of permanent reference value related to the broad field of electric machines and drives, power electronics converters, electromechanical devices, electrical equipment, renewable and sustainable electric energy applications, and power systems.
Specific topics covered include:
-Electric machines-
Solid-state control of electric machine drives-
Power electronics converters-
Electromagnetic fields in energy converters-
Renewable energy generators and systems-
Power system planning-
Transmission and distribution-
Power system protection-
Dispatching and scheduling-
Stability, reliability, and security-
Renewable energy integration-
Smart-grid and micro-grid technologies.
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