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1 Ergebnisse
1
Faulty Line-Section Identification Method for Distribution ..:
, In:
2020 IEEE/IAS 56th Industrial and Commercial Power Systems Technical Conference (I&CPS)
,
Ku, Te-Tien
;
Li, Chung-Sheng
;
Lin, Chia-Hung
.. - p. 1-9 , 2020
Link:
https://doi.org/10.1109/ICPS48389.2020.9176836
RT T1 <cTitle>2020 IEEE/IAS 56th Industrial and Commercial Power Systems Technical Conference (I&CPS)</cTitle>: T1 <Title>Faulty Line-Section Identification Method for Distribution Systems Based on Fault Indicators</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9176836&Exemplar=1&LAN=DE A1 Ku, Te-Tien A1 Li, Chung-Sheng A1 Lin, Chia-Hung A1 Chen, Chao-Shun A1 Hsu, Cheng-Ting YR 2020 SN 2158-4907 K1 Circuit faults K1 Fault diagnosis K1 Batteries K1 Asset management K1 Load modeling K1 Current transformers K1 Inference mechanisms K1 fault indicator K1 Petri-net K1 distribution automation system K1 asset management system K1 automated mapping/facilities management/geographic information system SP 1 OP 9 LK http://dx.doi.org/https://doi.org/10.1109/ICPS48389.2020.9176836 DO https://doi.org/10.1109/ICPS48389.2020.9176836 SF ELIB - SuUB Bremen
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