Zobrazeno 1 - 10
of 131
pro vyhledávání: '"AHMED HAFAIFA"'
Autor:
Abdelmoumen Saci, Mohamed Nadour, Lakhmissi Cherroun, Ahmed Hafaifa, Abdellah Kouzou, Jose Rodriguez, Mohamed Abdelrahem
Publikováno v:
Energies, Vol 17, Iss 16, p 4016 (2024)
The monitoring of wind turbine (WT) systems allows operators to maximize their performance, consequently minimizing untimely shutdowns and related hazard situations while maximizing their efficiency. Indeed, the rational monitoring of WT ensures the
Externí odkaz:
https://doaj.org/article/a81bcf94120b4b69b5b6fc19070c67b2
Publikováno v:
Diagnostyka, Vol 24, Iss 1, Pp 1-13 (2023)
This paper aims to present a robust fault diagnosis structure-based observers for actuator faults in the pitch part system of the wind turbine benchmark. In this work, two linear estimators have been proposed and investigated: the Kalman filter and t
Externí odkaz:
https://doaj.org/article/3831a8f37c514eb39e5874f0e55f6a3a
Publikováno v:
Diagnostyka, Vol 23, Iss 4, Pp 1-21 (2022)
In the industrial sector, transmission lines are an important part of the electrical grid. Thus it is important to protect it from all the different faults that may occur as soon as possible to supply the electric power continuously. This paper prese
Externí odkaz:
https://doaj.org/article/89eb18059ce245ab9b37dc38a5ce9b26
Autor:
Sohaib Abdeslam Boulanouar, Ameur Miloud Kaddouri, Abdellah Kouzou, Amar Benaissa, Ali Teta, Ahmed Hafaifa, Ralph Kennel, Mohamed Abdelrahem
Publikováno v:
Energies, Vol 16, Iss 18, p 6565 (2023)
This paper proposes a new multifunctional control technique for a grid-connected hybrid distributed generation system composed of a photovoltaic system and a wind power system based on a voltage source converter (VSC). Indeed, aside from the generati
Externí odkaz:
https://doaj.org/article/9222c2ddeda041d2b09b9004328b4ee4
Publikováno v:
Diagnostyka, Vol 23, Iss 1, Pp 1-18 (2022)
Responding to the needs of quality and robustness of analysis and management of degradation of equipment, to increase their life cycle and to expand these facilities to become more and more sophisticated and agronomic. This work proposes a contributi
Externí odkaz:
https://doaj.org/article/e8556794a3894864922fcd591ad74ac8
Publikováno v:
Journal of Mechanical Engineering, Vol 71, Iss 2, Pp 239-256 (2021)
This paper proposes a decision making approach based on the development of a fuzzy prognostic system to ensure the vibrations monitoring of a gas turbine based on real time information obtained from different installed sensors. In this approach the c
Externí odkaz:
https://doaj.org/article/3fa6cc1e45d84b14b38ed20c4c2f8949
Autor:
Saad Khadar, Ameur Miloud Kaddouri, Abdellah Kouzou, Ahmed Hafaifa, Ralph Kennel, Mohamed Abdelrahem
Publikováno v:
Energies, Vol 16, Iss 14, p 5288 (2023)
Open-end winding five-phase induction motor (OeW-5PIM) configuration is used in industrial applications, where minimization in the total harmonic currents and high reliability are needed. The majority of the literature on OeW-5PIM topology discusses
Externí odkaz:
https://doaj.org/article/550d95ede3b84249a46c81bf0b6e10ef
Publikováno v:
Journal of Mechanical Engineering, Vol 68, Iss 3, Pp 143-166 (2018)
During the gas turbine exploitation the presence of small defects can cause very high vibration amplifications, localized on the components of this rotating machine. For this, a diagnostic process is necessary for decision-making during the monitorin
Externí odkaz:
https://doaj.org/article/33c4c9a5d9044a75b0b77d9102ef116f
Publikováno v:
Applied Artificial Intelligence, Vol 32, Iss 6, Pp 515-540 (2018)
The main aim of the present work is development of an active fault tolerant control for two shafts gas turbine fault detection and isolation based on a neuro fuzzy inference system adaptive approach. This approach combines the advantages of the neura
Externí odkaz:
https://doaj.org/article/d0cef3c04c024a6a90128d4ebe95c1c5
Publikováno v:
Journal of Engineering Science and Technology, Vol 13, Iss 6, Pp 1850-1868 (2018)
This paper deals with the application of the multivariable linear system Matrix Fraction Description (MFD) theory for the identification of the Left Linear MIMO ARX turbo-compressor model based on Extended Least Square (ELS) estimator. Indeed, the id
Externí odkaz:
https://doaj.org/article/b61e8ced02164a7b8236bb281c443479