{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T00:37:48Z","timestamp":1705106268843},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684802","type":"print"},{"value":"9781643684819","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:00Z","timestamp":1705017600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,12]]},"abstract":"<jats:p>The current predominant method for partial discharge (PD) localization necessitates manual measurements of the distances between sensors and time-of-arrival differences by maintenance personnel. To enhance the intelligence of automatic localization techniques, this paper conducted research on PD localization within Gas-Insulated Switchgear (GIS) using digital twin technology. We propose an automatic PD localization technique for GIS based on digital twins. Initially, we establish a digital twin model of a typical GIS, compute the shortest distances between any two points within the model, thus creating a \u201ctime delay fingerprint database.\u201d Using this database in conjunction with the time-of-arrival difference method allows for the automatic localization of partial discharges. The effectiveness of this algorithm has been verified through simulation experiments.<\/jats:p>","DOI":"10.3233\/faia231183","type":"book-chapter","created":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T12:55:37Z","timestamp":1705064137000},"source":"Crossref","is-referenced-by-count":0,"title":["Automatic Localization of Partial Discharges in GIS Based on Digital Twins"],"prefix":"10.3233","author":[{"given":"Yizhi","family":"Fang","sequence":"first","affiliation":[{"name":"Zhuhai Power Supply Bureau of Guangdong Power Grid Co., Ltd, Guangdong Zhuhai 519000, China"}]},{"given":"Yuling","family":"Lin","sequence":"additional","affiliation":[{"name":"Zhuhai Power Supply Bureau of Guangdong Power Grid Co., Ltd, Guangdong Zhuhai 519000, China"}]},{"given":"Yuhua","family":"Huang","sequence":"additional","affiliation":[{"name":"Zhuhai Power Supply Bureau of Guangdong Power Grid Co., Ltd, Guangdong Zhuhai 519000, China"}]},{"given":"Zhibin","family":"Jiang","sequence":"additional","affiliation":[{"name":"Zhuhai Power Supply Bureau of Guangdong Power Grid Co., Ltd, Guangdong Zhuhai 519000, China"}]},{"given":"Zilong","family":"Zhu","sequence":"additional","affiliation":[{"name":"Zhuhai Power Supply Bureau of Guangdong Power Grid Co., Ltd, Guangdong Zhuhai 519000, China"}]},{"given":"Daoyi","family":"Shen","sequence":"additional","affiliation":[{"name":"Global Science & Technology (Shanghai) Co., Ltd, Shanghai 201210, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Electronics, Communications and Networks"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA231183","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T12:55:39Z","timestamp":1705064139000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA231183"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,12]]},"ISBN":["9781643684802","9781643684819"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia231183","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,12]]}}}