Results 1 to 10 of about 678,536 (204)
Machine Learning-Based Monitoring of DC-DC Converters in Photovoltaic Applications [PDF]
Algorithms, 2022 In this paper, a monitoring method for DC-DC converters in photovoltaic applications is presented. The primary goal is to prevent catastrophic failures by detecting malfunctioning conditions during the operation of the electrical system.
Marco Bindi +7 more
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A New Method for the Parametric Identification of DC Machines Using MATLAB Identification Toolbox and Experimental Measurements [PDF]
E3S Web of Conferences, 2022 This paper proposes a new approach for the identification of a DC machine (DCM) parameters to build a mathematical model considering different dynamic regimes, which characterize the operation of the studied machine.
Hamza Boudjemai +3 more
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Six-phase doubly fed induction machine-based standalone DC voltage generator [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2021 The paper presents a multi-phase doubly fed induction machine operating as a DC voltage generator. The machine consists of a six-phase stator circuit and a three-phase rotor circuit.
Paweł Maciejewski, Grzegorz Iwański
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DA Makinesi Hız Kontrolünün Q-Öğrenme Tabanlı PID Kontrolör ile Gerçek-Zamanlı Uygulaması
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2023 Çalışmamızda Q-öğrenme tabanlı adaptif PID kontrolörün gerçek zamanlı bir sistemdeki performansı incelenmiştir. Gerçek zamanlı sistem olarak DA makine hız kontrolü sistemi tercih edilmiştir.
Burhan Baraklı, Bekir Murat Aydın
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Sensors, 2022 This paper presents the findings of detailed and comprehensive technical literature aimed at identifying the current and future research challenges of tactical autonomy.
Desta Haileselassie Hagos +1 more
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Energy Reports, 2023 Due to its good mechanical robustness and field control capacity, the DC-excited Vernier reluctance machine (DC-VRM) is a promising candidate for electrical vehicle propulsion.
Ziqi Huang +5 more
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IEEE Access, 2021 DC winding induced voltage pulsation in Wound field flux switching (WFFS) machine is the main cause of the current ripples in DC winding. It may also deteriorates the DC power source and enhances the challenging issues to the control performances of the ...
Muhammad Yousuf +4 more
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Machine learning to analyze single-case data : a proof of concept [PDF]
, 2020 Visual analysis is the most commonly used method for interpreting data from singlecase designs, but levels of interrater agreement remain a concern.
Destras, Océane +2 more
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Frontiers in Energy Research, 2022 Reluctance machines with DC field coil in stator are a competitive candidate for starter generation application, due to the elimination of rare-earth permanent magnet (PM), robust structures, and controllable excitation.
Shu Xiong +5 more
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Frontiers in Neurology, 2022 In this study, we aimed to use voxel-level degree centrality (DC) features in combination with machine learning methods to distinguish obstructive sleep apnea (OSA) patients with and without mild cognitive impairment (MCI).
Xiang Liu +9 more
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