{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T13:07:02Z","timestamp":1753880822865,"version":"3.41.2"},"reference-count":23,"publisher":"World Scientific Pub Co Pte Ltd","issue":"12","funder":[{"name":"Research on grid-based collaborative inspection technology and mode for multiple disciplines of power transmission, transformation and distribution","award":["521304230014"],"award-info":[{"award-number":["521304230014"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J CIRCUIT SYST COMP"],"published-print":{"date-parts":[[2024,8]]},"abstract":"<jats:p> The smooth operation of the power system is of significant importance for ensuring societal stability. Therefore, regular inspections of the power system are necessary. The most efficient method for power inspection is to utilize Unmanned Aerial Vehicles (UAVs) to assist inspection. However, the UAV inspection still needs human resources to operate and manage the UAVs effectively. This paper proposes a UAV-airport power inspection system, where the airport can operate and manage UAVs instead of humans. The key contribution of the system is the computation offloading technology and the Wireless Power Transfer (WPT) capability. In other words, the airport can help UAVs execute electrical image fault detection and the UAVs can be charged by the airport. We propose a joint optimization strategy for UAV flight speed, local execution frequency for fault detection, and WPT time to maximize the number of images in the electrical dataset captured by the UAV that have undergone power fault detection within the inspection time. Comprehensive experiments are conducted to verify the performance of the UAV-airport power inspection system and our optimization strategy. <\/jats:p>","DOI":"10.1142\/s021812662450213x","type":"journal-article","created":{"date-parts":[[2024,1,27]],"date-time":"2024-01-27T04:10:10Z","timestamp":1706328610000},"source":"Crossref","is-referenced-by-count":0,"title":["Task Scheduling Optimization for UAV Electrical Image Fault Detection with Wireless Power Transfer"],"prefix":"10.1142","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-2246-671X","authenticated-orcid":false,"given":"Renshu","family":"Wang","sequence":"first","affiliation":[{"name":"State Grid Fujian Electric Power Research Institute, Fuzhou, P. R. China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2720-1608","authenticated-orcid":false,"given":"Wenbin","family":"Wu","sequence":"additional","affiliation":[{"name":"State Grid Fujian Electric Power Research Institute, Fuzhou, P. R. China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-3468-1661","authenticated-orcid":false,"given":"Zhiwei","family":"Fu","sequence":"additional","affiliation":[{"name":"State Grid Fujian Electric Power Co., Ltd., Fuzhou, P. R. China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0318-9741","authenticated-orcid":false,"given":"Bojian","family":"Chen","sequence":"additional","affiliation":[{"name":"State Grid Fujian Electric Power Research Institute, Fuzhou, P. R. China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1634-2696","authenticated-orcid":false,"given":"Xiaojie","family":"Wu","sequence":"additional","affiliation":[{"name":"State Grid Fujian Electric Power Co., Ltd., Fuzhou, P. R. 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