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Artificial intelligence in monitoring and diagnostics of electrical energy conversion systemsVaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants; Pomarnacki, Raimondas; Belahcen, Anouar; Van Khang, Hyunh2020 27th International Workshop on Electric Drives: MPEI Department of Electric Drives 90th Anniversary (IWED), Moscow, Russia, January 27-30, 20202020 / 4 p https://doi.org/10.1109/IWED48848.2020.9069566

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Converter state-space model estimation using dynamic mode decompositionSuskis, Pavels; Zakis, Janis; Suzdalenko, Alexander; Khang, Huynh Van; Rassõlkin, Anton; Vaimann, Toomas; Pomarnacki, Raimondas2022 IEEE 7th International Energy Conference (ENERGYCON)2022 / 5 l https://doi.org/10.1109/ENERGYCON53164.2022.9830201

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A current spectrum-based algorithm for fault detection of electrical machines using low-power data acquisition devicesAsad, Bilal; Raja, Hadi Ashraf; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Hyunh, Van KhangElectronics2023 / art. 1746 https://doi.org/10.3390/electronics12071746 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Related publications 1

IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks

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Digital Twin as a virtual sensor for wind turbine applicationsMohamed, Mahmoud Ibrahim Hassanin; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, Ants; Zakis, Janis; Hyunh, Van Khang; Pomarnacki, RaimondasEnergies2023 / art. 6246 https://doi.org/10.3390/en16176246 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Digital twin of wind generator for modelling various turbine characteristicsRaja, Hadi Ashraf; Autsou, Siarhei; Kudelina, Karolina; Rjabtšikov, Viktor; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Hyunh, Van Khang2023 International Conference on Electrical Drives and Power Electronics (EDPE)2023 / p. 1-5 https://doi.org/10.1109/EDPE58625.2023.10274050

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Digital twin of wind generator to simulate different turbine characteristics using IoTRaja, Hadi Ashraf; Kudelina, Karolina; Rjabtšikov, Viktor; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Hyunh, Van KhangProceedings of the Future Technologies Conference (FTC) 2023. Vol. 12023 / p. 123-132 https://doi.org/10.1007/978-3-031-47454-5_9 Conference proceedings at Scopus Article at Scopus

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Exploring the limits of early predictive maintenance in wind turbines applying an anomaly detection techniqueJankauskas, Mindaugas; Serackis, Artūras; Šapurov, Martynas; Pomarnacki, Raimondas; Baskys, Algirdas; Hyunh, Van Khang; Vaimann, Toomas; Zakis, JanisSensors2023 / art. 5695 https://doi.org/10.3390/s23125695 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Fault-tolerant control of a grid-connected bipolar DC microgrid with high penetration of intermittent renewable energySenanayaka, Jagath; Khang, Huynh Van; Rassõlkin, Anton; Vaimann, Toomas; Zakis, Janis; Pomarnacki, RaimondasIECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society2022 / p. 1-6 https://doi.org/10.1109/IECON49645.2022.9968572 Conference proceedings at Scopus Article at Scopus

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Improved fault classification and localization in power transmission networks using vae-generated synthetic data and machine learning algorithmsKhan, Muhammad Amir; Asad, Bilal; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Hyunh, Van KhangMachines2023 / art. 963 https://doi.org/10.3390/machines11100963 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Preliminary analysis of bearing current faults for predictive maintenanceKudelina, Karolina; Raja, Hadi Ashraf; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Hyunh, Van Khang2023 IEEE International Conference on Electric Machines and Drives (IEMDC)2023 / 5 p. : ill https://doi.org/10.1109/IEMDC55163.2023.10238934

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Related publications 1

Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil

Pomarnacki, Raimondas (author)

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