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Applications of digital twin across industries : a reviewSingh, Maulshree; Srivastava, Rupal; Fuenmayor, Evert; Kuts, Vladimir; Qiao, Yuansong; Murray, Niall; Devine, DeclanApplied sciences2022 / art. 5727 https://doi.org/10.3390/app12115727

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Design and control for high reliability power electronics: state of the art and future trendsAlcaide, A. M.; Buticchi, Giampaolo; Chub, Andrii; Dalessandro, L.IEEE journal of emerging and selected topics in industrial electronics2024 / p. 50-61 https://doi.org/10.1109/JESTIE.2023.3287513

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Diagnostic possibilities of induction motor bearing currentsKudelina, Karolina; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants; Demidova, Galina; Karpovich, Dzmitry2021 XVIII International Scientific Technical Conference Alternating Current Electric Drives (ACED) : proceedings2021 / 5 p. : ill https://doi.org/10.1109/ACED50605.2021.9462298

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Fault detection and predictive maintenance of electrical machines : perspective chapterRaja, Hadi Ashraf; Kudelina, Karolina; Asad, Bilal; Vaimann, ToomasNew Trends in Electric Machines - Technology and Applications2022 https://doi.org/10.5772/intechopen.107167

book article

Related publications 1

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

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The impact of control environments on global parameters of electrical machines in case of broken rotor barsKudelina, Karolina; Raja, Hadi Ashraf; Autsou, Siarhei; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, AntsDiagnostika '22 : 2022 International Conference on Diagnostics in Electrical Engineering : Conference proceedings2022 / 4 p. https://doi.org/10.1109/Diagnostika55131.2022.9905149

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The impact of load on global parameters of electrical machines in case of healthy and broken rotor barsKudelina, Karolina; Raja, Hadi Ashraf; Autsou, Siarhei; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants; Shabbir, Noman2022 18th Biennial Baltic Electronics Conference (BEC)2022 / 5 l. https://doi.org/10.1109/BEC56180.2022.9935614

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Implementation and analysis of rolling bearing faults caused by shaft currentsKudelina, Karolina; Autsou, Siarhei; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, AntsInternational Workshop on Electric Drives: Optimization in Control of Electric Drives (IWED)2022 https://doi.org/10.1109/IWED54598.2022.9722596

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journal article

Improved diagnostic approach for BRB detection and classification in inverter-driven induction motors employing sparse stacked autoencoder (SSAE) and lightGBMKhan, Muhammad Amir; Asad, Bilal; Vaimann, Toomas; Kallaste, AntsElectronics (Switzerland)2024 / art. 1292 https://doi.org/10.3390/electronics13071292

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Incorporating service type in aging failure model of high voltage circuit breakerAsefi, Sajjad; Kilter, Jako; Landsberg, Mart2023 27th International Conference Electronics : proceedings2023 / 5 p https://doi.org/10.1109/IEEECONF58372.2023.10177602

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Induction motor bearing currents - causes and damagesKudelina, Karolina; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants; Asad, Bilal; Demidova, Galina2021 28th International Workshop on Electric Drives : Improving Reliability of Electric Drives (IWED)2021 / 5 p https://doi.org/10.1109/IWED52055.2021.9376354

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book article EST / book article ENG

Neuro-fuzzy approach for fault prediction of mechanical bearing faults using vibration analysisShirokova, Veroonika; Kudelina, Karolina; Raja, Hadi Ashraf; Rjabtšikov, Viktor; Baraškova, Tatjana; Nutonen, KarleIECON Proceedings (Industrial Electronics Conference) IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society2024 / p. 1-6 https://doi.org/10.1109/IECON55916.2024.10905990

book article EST / book article ENG

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Neuro-fuzzy framework for fault prediction in electrical machines via vibration analysisKudelina, Karolina; Raja, Hadi AshrafEnergies2024 / art. 2818 https://doi.org/10.3390/en17122818

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book article EST / book article ENG

Pattern based software architecture for predictive maintenanceTorim, Ants; Liiv, Innar; Ounoughi, Chahinez; Ben Yahia, SadokNordic Artificial Intelligence Research and Development : 4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31 - June 1, 2022 : revised selected papers2022 / p. 26-38 https://doi.org/10.1007/978-3-031-17030-0_3 Conference proceedings at Scopus Article at Scopus

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Possibilities of decreasing induction motor bearing currentsKudelina, Karolina; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants2021 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream): proceedings of the conference, April 22, 2021, Vilnius, Lithuania2021 / 5 p. : ill https://doi.org/10.1109/eStream53087.2021.9431419

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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

book article

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

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Preliminary analysis of global parameters of induction machine for fault prediction in rotor barsKudelina, Karolina; Raja, Hadi Ashraf; Autsou, Siarhei; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC) : Brasov, Romania, 25-28 Sept. 2022 : proceedings2022 / p. 243-248 : ill https://doi.org/10.1109/PEMC51159.2022.9962922

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Preliminary analysis of mechanical bearing faults for predictive maintenance of electrical machinesKudelina, Karolina; Raja, Hadi Ashraf; Autsou, Siarhei; Naseer, Muhammad Usman; Vaimann, Toomas; Kallaste, Ants; Pomamacki, Raimondas; Hyunh, Van Khang2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)2023 / p. 430-435 : ill https://doi.org/10.1109/SDEMPED54949.2023.10271451

book article

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

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Signal processing and machine learning techniques for predictive maintenance of rotor bars in induction machineKudelina, Karolina; Raja, Hadi Ashraf; Rjabtšikov, Viktor; Naseer, Muhammad Usman; Vaimann, Toomas; Kallaste, Ants2023 International Conference on Electrical Drives and Power Electronics (EDPE)2023 / 7 p. : ill https://doi.org/10.1109/EDPE58625.2023.10274030

book article

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

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journal article EST / journal article ENG

Signal spectrum-based machine learning approach for fault prediction and maintenance of electrical machinesRaja, Hadi Ashraf; Kudelina, Karolina; Asad, Bilal; Vaimann, Toomas; Kallaste, Ants; Rassõlkin, Anton; Khang, Huynh VanEnergies2022 / art. 9507 https://doi.org/10.3390/en15249507 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG

Related publications 1

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

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Study of bearing currents in induction machine : diagnostic possibilities, fault detection, and predictionKudelina, Karolina; Raja, Hadi Ashraf; Naseer, Muhammad Usman; Autsou, Siarhei; Asad, Bilal; Vaimann, Toomas; Kallaste, AntsElectrical engineering2024 / 14 p. : ill https://doi.org/10.1007/s00202-024-02411-x

journal article

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

predictive maintenance (keyword)

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