Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Azzeddine Bakdi"'
Publikováno v:
Mathematics and Computers in Simulation. 204:430-449
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:7718-7728
In this article, a novel weakly supervised machine learning approach is proposed for intelligent predictive maintenance (IPdM). It employs balanced random forest and multiple instance learning based on event logs from ships’ electric propulsion sys
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 22:7914-7930
Publikováno v:
Ocean Engineering
Publikováno v:
Renewable Energy. 172:1021-1034
This paper proposes a novel Improved Maximum Power Point Tracking (IMPPT) algorithm to extract the maximum available power from a direct-drive Permanent-Magnet Synchronous Generator (PMSG) based standalone Small-scale Variable Speed Wind Turbine (VSW
Autor:
Azzeddine Bakdi, Erik Vanem
Maritime Autonomous Surface Ships (MASSs) will reshape the fast-evolving ecosystem for their attractive socio-economic benefits and potential to improve safety. However, their new systems and technology need thorough verifications to identify uninten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbf9e920f79bb134f3b9ff7e0812313d
http://hdl.handle.net/10852/101585
http://hdl.handle.net/10852/101585
Publikováno v:
Journal of Power Sources. 556:232429
Publikováno v:
Transactions of the Institute of Measurement and Control. 42:1225-1238
Principal component analysis (PCA) is a common tool in the literature and widely used for process monitoring and fault detection. Traditional PCA is associated with the two well-known control charts, the Hotelling’s T2 and the squared prediction er
Publikováno v:
Engineering Optimization. 52:1761-1779
This article presents a novel comprehensive learning bat algorithm (CLBAT) for the optimal coordinated design of power system stabilizers (PSSs) and static VAR compensator (SVC) for damping electromechanical oscillations in multi-machine power system