Zobrazeno 1 - 10
of 47
pro vyhledávání: '"mellah, Hacene"'
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
Akademický článek
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Publikováno v:
Turk J Elec Eng & Comp Sci 26 (2018) 3181-3191
In this paper, a sensorless speed and armature resistance and temperature estimator for Brushed (B) DC machines is proposed, based on a Cascade-Forward Neural Network (CFNN) and Quasi-Newton BFGS backpropagation (BP). Since we wish to avoid the use o
Externí odkaz:
http://arxiv.org/abs/1902.03171
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
Publikováno v:
Journal of Engineering Science & Technology Review; 2024, Vol. 17 Issue 5, p117-125, 9p
Autor:
Mellah, Hacene1 h.mellah@univ-bouira.dz, Yahiou, Abdelghani1, Hemsas, Kamel Eddine1, Taleb, Rachid1
Publikováno v:
Journal of Engineering Science & Technology Review. 2022, Vol. 15 Issue 2, p8-14. 7p.
Publikováno v:
Engineering, Technology & Applied Science Research. 12:9258-9264
When putting any unloaded transformer into service, a high-value current that can be very dangerous, called the inrush current, appears. The latter may cause problems and consequences in the electrical system. The challenges of visualizing the effect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20baade294b22f8bcf1286218f60a5d3
https://doi.org/10.48084/etasr.5205
https://doi.org/10.48084/etasr.5205
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.