Browsing Matematisk institutt by Author "Bakdi, Azzeddine"
Now showing items 1-20 of 21
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Dali, Ali; Abdelmalek, Samir; Bakdi, Azzeddine; Bettayeb, Maamar (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2023)This paper considers the optimal robust control of chaotic systems subject to parameter perturbations and measurement noise. Three novel dynamic tracking controllers are designed herein to suppress the chaotic behaviour ...
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Bakdi, Azzeddine; Kouadri, Abdelmalek; Mekhilef, Saad (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)Advanced Fault Detection (FD) and isolation schemes are necessary to realize the required levels of reliability and availability and to minimize financial losses against failures. In particular, FD is essential in modern ...
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Abdelmalek, Samir; Dali, Ali; Bettayeb, Maamar; Bakdi, Azzeddine (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)Output voltage regulation of DC–DC converters has recently gained an increasing attention to face the many system nonidealities. The fast switching behavior is nonlinear time varying, the presence of model and measurement ...
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Dali, Ali; Abdelmalek, Samir; Bakdi, Azzeddine; Bettayeb, Maamar (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2021)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 ...
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Dali, Ali; Abdelmalek, Samir; Bakdi, Azzeddine; Bettayeb, Maamar (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2021)This paper presents an effective strategy for controlling an Interleaved DC/DC Boost Converter (IBC) that is employed for reducing the current fluctuations in a 6 kW Proton Exchange Membrane Fuel Cell (PEMFC). The proposed ...
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Bertinelli Salucci, Clara; Bakdi, Azzeddine; Glad, Ingrid Kristine; Vanem, Erik; De Bin, Riccardo (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2022)We propose a novel semi-supervised learning method to monitor the State of Health of lithium-ion batteries, a prominent technology for the electrification of the transport sector. Our approach enables State of Health ...
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Bertinelli Salucci, Clara; Bakdi, Azzeddine; Glad, Ingrid Kristine; Vanem, Erik; De Bin, Riccardo (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)Lithium-ion batteries are a prominent technology for the electrification of the transport sector, which itself is a key measure towards the departure from fossil fuels. The “green shift” is taking place in the marine ...
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Bakdi, Azzeddine; Glad, Ingrid Kristine; Vanem, Erik; Engelhardtsen, Øystein (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2020)The continuous growth in maritime traffic and recent developments towards autonomous navigation have directed increasing attention to navigational safety in which new tools are required to identify real-time risk and complex ...
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Vestre, Arnstein; Bakdi, Azzeddine; Vanem, Erik; Engelhardtsen, Øystein (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)Economic and technological development has increased the amount, density and complexity of maritime traffic, which has resulted in new challenges. One challenge is conforming to the distinct evasion manoeuvres required by ...
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Baadji, Bousaadia; Bentarzi, Hamid; Bakdi, Azzeddine (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)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 ...
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Vanem, Erik; Liang, Qin; Ferreira, Carla; Agrell, Christian; Karandikar, Nikita; Wang, Shuai; bruch, maximilian; Bertinelli Salucci, Clara; Grindheim, Christian; Kejvalova, Anna; Alnes, Øystein Åsheim; Thorbjørnsen, Kristian; Bakdi, Azzeddine; Kandepu, Rambabu (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2023)Battery systems are increasingly being used for powering ocean going ships, and the number of fully electric or hybrid ships relying on battery power for propulsion and maneuvering is growing. In order to ensure the safety ...
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Vanem, Erik; Bertinelli Salucci, Clara; Bakdi, Azzeddine; Alnes, Øystein Åsheim (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)Battery systems are becoming an increasingly attractive alternative for powering ocean going ships, and the number of fully electric or hybrid ships relying on battery power for propulsion and manoeuvring is growing. In ...
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Belagoune, Soufiane; Bali, Noureddine; Bakdi, Azzeddine; Baadji, Bousaadia; Atif, Karim (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2021)Fault detection, diagnosis, identification and location are crucial to improve the sensitivity and reliability of system protection. This maintains power systems continuous proper operation; however, it is challenging in ...
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Abdelmalek, Samir; Dali, Ali; Bakdi, Azzeddine; Bettayeb, Maamar (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)DC-DC buck converters are extensively used in many industrial and end-user applications where significant attention highlights their power-conversion efficiency and robustness to load and source disturbances. This paper ...
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Bounoua, Wahiba; Bakdi, Azzeddine (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2021)A novel Dynamic Kernel PCA (DKPCA) method is developed for process monitoring in nonlinear dynamical systems. Classical DKPCA approaches still exhibit vague linearity assumptions to determine the number of principal ...
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Bakdi, Azzeddine; Vanem, Erik (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)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 ...
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Bakdi, Azzeddine; Kristensen, Nicolay Bjørlo; Stakkeland, Morten (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)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 ...
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Bertinelli Salucci, Clara; Bakdi, Azzeddine; Glad, Ingrid Kristine; Vanem, Erik; De Bin, Riccardo (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)Longevity and safety of lithium-ion batteries are facilitated by efficient monitoring and adjustment of the battery operating conditions. Hence, it is crucial to implement fast and accurate algorithms for State of Health ...
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Bakdi, Azzeddine; Bounoua, Wahiba; Mekhilef, Saad; Halabi, Laith M. (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)In parallel to sustainable growth in solar fraction, continuous reductions in Photovoltaic (PV) module and installation costs fuelled a profound adoption of residential Rooftop Mounted PV (RMPV) installations already ...
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Bounoua, Wahiba; Benkara, Amina B.; Kouadri, Abdelmalek; Bakdi, Azzeddine (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2020)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 ...