Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Duygu Bayram Kara"'
Autor:
Mahmut Abaci, Duygu Bayram Kara
Publikováno v:
Turkish Journal of Electrical Power and Energy Systems, Vol 4, Iss 3, Pp 118-126 (2024)
With the growing adoption of light electric vehicles (LEVs), it is becoming increasingly important to optimize their propulsion systems. Brushless DC (BLDC) motors are widely utilized for their high efficiency, precise control, and strong performance
Externí odkaz:
https://doaj.org/article/76bc60ddfb9a48c198fbca0c38058daa
Autor:
Baris Demirbay, Duygu Bayram Kara
Publikováno v:
2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::682b134765831a7fbb547b1af90c59da
https://doi.org/10.1109/inista55318.2022.9894180
https://doi.org/10.1109/inista55318.2022.9894180
Publikováno v:
Traitement du Signal. 37:975-987
An Integrated Fault Evaluation (IFE) process is proposed in this study. It includes Sensor Validation (SV), Fault Detection (FD) and Fault Source Identification (FSI). The proposed algorithm employs data fusion algorithm enhanced by Kalman filter (KF
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d13a5c881fa30dc16f1c7a4041959c5
https://doi.org/10.18280/ts.370610
https://doi.org/10.18280/ts.370610
Publikováno v:
Expert Systems with Applications. 207:117937
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd0d3e76bd3aa06d3e758f01e5b41df4
https://doi.org/10.1016/j.eswa.2022.117937
https://doi.org/10.1016/j.eswa.2022.117937
Autor:
Duygu Bayram Kara, Ozgur Ustun
Publikováno v:
International Journal of Applied Electromagnetics and Mechanics. 59:541-547
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14a57413e25bfd037f50b2f5aa16f8ce
https://doi.org/10.3233/jae-171035
https://doi.org/10.3233/jae-171035
Publikováno v:
PROCEEDINGS OF the 29th Quadrennial Session of the CIE.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::087e730bc7c5e7a4ca508a907d866fb4
https://doi.org/10.25039/x46.2019.po124
https://doi.org/10.25039/x46.2019.po124
Publikováno v:
Applied Soft Computing. 96:106632
In our present work, a multi-layered feed-forward neural network (FFNN) model was designed and developed to predict electrical conductivity of multi-walled carbon nanotube (MWCNT) doped polystyrene (PS) latex nanocomposite (PS/MWCNT) film coatings us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fe5318a76b73fac44120addd25a2bb0
https://doi.org/10.1016/j.asoc.2020.106632
https://doi.org/10.1016/j.asoc.2020.106632