Machine-Learning-Based Intermittent Arc Faults Intelligent Detection in Resonant Grounding Distribution Systems
碩士 === 元智大學 === 電機工程學系甲組 === 107 === In the ground faults of the resonant grounding distribution network, the fault current amplitude of intermittent arc faults (IAFs) is small, and its characteristics are not obvious and thus difficult to identify. Therefore, the conventional method needs to extrac...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/p9nd33 |