Zobrazeno 1 - 10
of 42
pro vyhledávání: '"HEMSAS, Kamel Eddine"'
Publikováno v:
Electrical Engineering an Electromechanics 4 (2021) 3-11
Nowadays, power transformer aging and failures are viewed with great attention in power transmission industry. Dissolved gas analysis (DGA) is classified among the biggest widely used methods used within the context of asset management policy to dete
Externí odkaz:
http://arxiv.org/abs/2108.10205
Publikováno v:
Advances in Modelling and Analysis B(2021)
A sensorless speed, average temperature and resistance estimation technique based on Neural Network (NN) for brushed DC machines is proposed in this paper. The literature on parameters and state spaces estimations of the Brushed DC machines, shows a
Externí odkaz:
http://arxiv.org/abs/2104.04348
The objective of this paper is to develop an Artificial Neural Network (ANN) model to estimate simultaneously, parameters and state of a brushed DC machine. The proposed ANN estimator is novel in the sense that his estimates simultaneously temperatur
Externí odkaz:
http://arxiv.org/abs/1901.08661
Autor:
Issaadi, Idris1 (AUTHOR) hemsas_ke_dz@univ-setif.dz, Hemsas, Kamel Eddine1 (AUTHOR), Soualhi, Abdenour2 (AUTHOR) idris.issaadi@univ-setif.dz
Publikováno v:
Energies (19961073). Jul2023, Vol. 16 Issue 14, p5286. 19p.
Autor:
Soualhi, Moncef, Nguyen, Khanh T.P., Soualhi, Abdenour, Medjaher, Kamal, Hemsas, Kamel Eddine
Publikováno v:
In Measurement July 2019 141:37-51
Publikováno v:
Journal of Measurements in Engineering. 10:15-26
Using frequency splitting, two energy management strategies (EMS) based on Haar wavelet decomposition and Fourier analysis for fuel cell hybrid vehicle (FCHV) are proposed to manage efficiently the power flow between components. The paper aims to dis
Photovoltaic (PV) energy is amongst the most helpful renewable and sustainable energy sources since it offers a variety of benefits. Because it has a number of advantages [1], including being free, having a long life of usage, requiring very little m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::066e64e425908277405df3e4831fa2e6
Autor:
MELLAH, Hacene1,2 h.mellah@univ-chlef.dz, HEMSAS, Kamel Eddine1, TALEB, Rachid2, CECATI, Carlo3
Publikováno v:
Turkish Journal of Electrical Engineering & Computer Sciences. 2018, Vol. 26 Issue 6, p3181-3191. 11p.
Publikováno v:
Engineering, Technology & Applied Science Research; Jun2022, Vol. 12 Issue 3, p8688-8693, 6p