Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Yunus Emre Yağan"'
Autor:
Yunus Emre Yağan
Publikováno v:
Uludağ University Journal of The Faculty of Engineering, Vol 29, Iss 2, Pp 507-520 (2024)
Bu çalışmada üç fazlı dört telli şebeke bağlantılı nötr noktası kenetli (NNK) bir eviricinin kontrolü için çok katmanlı algılayıcı yapısında olan bir yapay sinir ağı (YSA) kontrolcüsü tasarlanmış ve test edilmiştir. Tasar
Externí odkaz:
https://doaj.org/article/7a2b9f2f9d184628b1f3c073aa50a6f8
Autor:
Yunus Emre Yağan, Kadir Vardar
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 41, Iss , Pp 101390- (2023)
In this study, a new current control method consisting of proportional-resonant (PR) based artificial neural networks (ANN) has been developed for a neutral point clamped (NPC) inverter. The used NPC inverter circuit is three phase three level three
Externí odkaz:
https://doaj.org/article/4f1aa0ac7898487389f04fde4230ff78
Autor:
Kadir VARDAR, Fırat AYDEMİR, Durmuş ÖZDEMİR, Mustafa TOPUZ, Burakcan KOLAY, Yusuf YILDIRIM, Zehra BİLİCİ, Mustafa Uhud BAYDOĞRUL, Yunus Emre YAĞAN, Bünyamin KAYA, Ali TANDOĞAN, Ethem Yiğit GÜRER
Publikováno v:
Volume: 5, Issue: 2 154-163
International Scientific and Vocational Studies Journal
International Scientific and Vocational Studies Journal
In this study, a test device has been developed that can be used to test various vehicle cables and cable harnesses in the automotive sector. The test device can perform basic measurements such as conductivity, short circuit, voltage, resistance, cap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bde64b45e9e9c0c14cc1b8fdb1448aa
https://doi.org/10.47897/bilmes.1012005
https://doi.org/10.47897/bilmes.1012005
Autor:
Yılmaz Aslan, Yunus Emre Yağan
Publikováno v:
Electrical Engineering. 99:301-311
This study presents an artificial neural-network (ANN)-based digital fault classification and location algorithm for medium voltage (MV) overhead power distribution lines with load taps and embedded remote-end source. The algorithm utilizes frequency
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dde89badecd28a84d9fdf420f1293ed1
https://doi.org/10.1007/s00202-016-0428-8
https://doi.org/10.1007/s00202-016-0428-8