Zobrazeno 1 - 10
of 315
pro vyhledávání: '"Anouar Belahcen"'
Publikováno v:
IET Electric Power Applications, Vol 18, Iss 7, Pp 841-848 (2024)
Abstract This paper introduces a novel application of the inverse modelling method, which is designed to estimate core losses in both the stator and rotor regions of an electrical machine. The technique focuses on the use of short‐term transient te
Externí odkaz:
https://doaj.org/article/89174955cc57416584b1bec07cd6f89e
Autor:
Taha El Hajji, Sami Hlioui, Francois Louf, Mohamed Gabsi, Anouar Belahcen, Guillaume Mermaz-Rollet, M'hamed Belhadi
Publikováno v:
IEEE Access, Vol 12, Pp 1552-1569 (2024)
Industry is increasingly adopting high-speed electric machines due to their high-power density and low cost. However, increasing the speed leads to many challenges that are worth to study since they have relevant impact on the design of the machine.
Externí odkaz:
https://doaj.org/article/819e2e259c4a4c2b82fbdf9a6936db64
Publikováno v:
Machines, Vol 12, Iss 1, p 17 (2023)
Vibration signals carry important information about the health state of a ball bearing and have proven their efficiency in training machine learning models for fault diagnosis. However, the sampling rate and frequency resolution of these acquired sig
Externí odkaz:
https://doaj.org/article/eeff3370585a4cdcb92f2b3ab92ad4fb
Autor:
Osaruyi Osemwinyen, Ahmed Hemeida, Floran Martin, Ismet Tuna Gurbuz, Payam Shams Ghahfarokhi, Anouar Belahcen
Publikováno v:
IEEE Access, Vol 10, Pp 29224-29232 (2022)
This paper presents an inverse thermal modeling technique to determine the core losses from the temperature rise inside the transformer core. For this purpose, initially, a customized printed circuit board (PCB) with thermal sensors is used to measur
Externí odkaz:
https://doaj.org/article/156c92de4eb24aa3a005219f36bb2b6f
Publikováno v:
IEEE Access, Vol 10, Pp 81910-81925 (2022)
This article presents an intelligent and accurate framework for fault diagnosis of induction motors using light gradient boosting machine (LightGBM). The proposed framework offers promising generalization ability when the testing data contains new un
Externí odkaz:
https://doaj.org/article/25bbe80d6a5541c5ae0b1402cb2a27b6
Autor:
Payam Shams Ghahfarokhi, Andrejs Podgornovs, Ants Kallaste, Antonio J. Marques Cardoso, Anouar Belahcen, Toomas Vaimann, Hans Tiismus, Bilal Asad
Publikováno v:
IEEE Access, Vol 9, Pp 36368-36381 (2021)
The additive manufacturing approach is considered a new manufacturing technology method and is evolving dynamically in recent years. It is advancing and achieving as the key enabling technology in a wide range of applications, from medical sciences t
Externí odkaz:
https://doaj.org/article/1ff5b9689a1e40a39c53519836379d22
Autor:
Ismet Tuna Gurbuz, Paavo Rasilo, Floran Martin, Ugur Aydin, Osaruyi Osemwinyen, Ahamed Bilal Asaf Ali, Marta Chamosa, Anouar Belahcen
Publikováno v:
IEEE Access, Vol 9, Pp 115710-115718 (2021)
Iron losses in laser-cut toroidal samples of 12 mm thick steel laminations used in large synchronous motors are studied. Eddy currents in the lamination cross-section are solved with the 2-D finite element method while applying a constitutive law bas
Externí odkaz:
https://doaj.org/article/a224f9e09d3d4b0ca1c11de2806a2edb
Autor:
Bilal Asad, Toomas Vaimann, Anouar Belahcen, Ants Kallaste, Anton Rassolkin, Huynh Van Khang, Payam Shams Ghahfarokhi, Muhammad U. Naseer, Muhammad N. Iqbal
Publikováno v:
IEEE Access, Vol 9, Pp 165932-165946 (2021)
A discrete winding function analysis (DWFA) based approach for the modelling of skewed rotor cage-type induction motor with minimal simulation time is presented in this paper. The rotor slot skew has a significant attenuating impact on principal slot
Externí odkaz:
https://doaj.org/article/f916062cd0e940c7aef306b387f63364
Autor:
Anton Rassõlkin, Anouar Belahcen, Ants Kallaste, Toomas Vaimann, Dmitry Vyacheslavovich Lukichev, Svetlana Orlova, Hamidreza Heidari, Bilal Asad, Jaime Pando Acedo
Publikováno v:
Proceedings of the Estonian Academy of Sciences, Vol 69, Iss 2, Pp 162-177 (2020)
Nowadays a lot of attention is paid on the issues of global warming and climate change. Human impact on the environment is noticeable from the aspect of resource life cycles. Energy efficiency requirements have led to the research and development of
Externí odkaz:
https://doaj.org/article/84ae67ea05ad49b69a1e7cb14153b63e
Publikováno v:
Energies, Vol 16, Iss 2, p 654 (2023)
As Guest Editors of this Special Issue, it was our responsibility to ensure that the contributions to the issue related to the extensive field of electromechanical energy conversion, with a special focus on the design, materials, and modeling of elec
Externí odkaz:
https://doaj.org/article/a87e9a45e5d24479ae998d240b2654b9