Using Deep Transfer Learning Technique to Protect Electrical Distribution Systems Against High-Impedance Faults
The dependence of high-impedance faults (HIFs) detection methods on a large amount of training data has always been a fundamental problem in electrical distribution systems. This article proposes a novel protection system based on the transfer learning technique and GoogleNet architecture to reduce...
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Veröffentlicht in: | IEEE systems journal 2023-06, Vol.17 (2), p.1-12 |
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Sprache: | eng |
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