- Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abilKudelina, Karolina2024 https://www.ester.ee/record=b5685285*est https://doi.org/10.23658/taltech.28/2024 https://digikogu.taltech.ee/et/Item/229f1bbb-6178-414a-9e2e-2c98a30a783c
- Condition monitoring and diagnostic of electrical machines using IoT and machine learningRaja, Hadi Ashraf21st International Symposium "Topical problems in the field of electrical and power engineering. Doctoral school of energy and geotechnology. III" : Pärnu, Estonia, June 15-18, 20222022 / p. 31-32 : ill https://www.ester.ee/record=b5504019*est
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- Cost-efficient real-time condition monitoring and fault diagnostics system for BLDC motor using IoT and Machine learningRaja, Hadi Ashraf; Raval, Hardik; Vaimann, Toomas; Kallaste, Ants; Rassõlkin, Anton; Belahcen, AnouarDiagnostika '22 : 2022 International Conference on Diagnostics in Electrical Engineering : conference proceedings2022 / 4 p. https://doi.org/10.1109/Diagnostika55131.2022.9905102
- 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 https://www.scopus.com/sourceid/21100829272 https://www.scopus.com/record/display.uri?eid=2-s2.0-85152917029&origin=inward&txGid=5ab917f24786ab0f8c4172972c89df76 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ELECTRONICS-SWITZ&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:000971825900001
- Custom simplified machine learning algorithms for fault diagnosis in electrical machinesRaja, Hadi Ashraf; Asad, Bilal; Vaimann, Toomas; Kallaste, Ants; Rassõlkin, Anton; Belahcen, AnouarDiagnostika '22 : 2022 International Conference on Diagnostics in Electrical Engineering : Conference proceedings2022 / 4 p. https://doi.org/10.1109/Diagnostika55131.2022.9905174
- Development and utilization of synthetic signals for fault diagnostics of electrical machinesRaja, Hadi Ashraf; Kudelina, Karolina; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, AntsIEEE journal of emerging and selected topics in industrial electronics2024 / 9 p https://doi.org/10.1109/JESTIE.2024.3395650
- 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
- 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 https://www.scopus.com/sourceid/21100901469 https://www.scopus.com/record/display.uri?eid=2-s2.0-85177082761&origin=inward&txGid=621055302a55f922c6ff6284da3baa51
- Enhancing transmission line reliability : an AI-driven approach to fault identification and classificationShabbir, Noman; Kamran, Daniel; Raja, Hadi AshrafElectronics2024
- Establishing visualization-to-hardware communication through middleware for digital twin with ROS-compatible microcontrollers latency testsBelolipetskaja, Diana; Rassõlkin, Anton; Raja, Hadi Ashraf; Stupans, Andrejs; Maksimkins, PavelsProceeding of EAI International Conference of Robotic Sensor Networks (ROSENET) 20242025
- An EV-traction inverter data-driven modelling for digital twin developmentIbrahim, Akram Abdalla Mohammed; Raja, Hadi Ashraf; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, Ants2023 23rd International Scientific Conference on Electric Power Engineering (EPE)2023 / 5 p. : ill https://doi.org/10.1109/EPE58302.2023.10149230
- 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
- Feasibility investigation for residential battery sizing considering EV charging demandShabbir, Noman; Kütt, Lauri; Daniel, Kamran; Astapov, Victor; Raja, Hadi Ashraf; Iqbal, Muhammad Naveed; Husev, OleksandrSustainability2022 / art. 1079 https://doi.org/10.3390/su14031079 https://www.scopus.com/sourceid/21100240100 https://www.scopus.com/record/display.uri?eid=2-s2.0-85123093705&origin=inward&txGid=f1e308cfba11e3dcf9c5f13ded1e9a81 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=SUSTAINABILITY-BASEL&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000755702900001
- 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
- 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
- IoT based tools and methods for electrical machine diagnosticsRaja, Hadi Ashraf19th International Symposium “Topical problems in the field of electrical and power engineering. Doctoral school of energy and geotechnology. III” : Tartu, Estonia, January 14-17, 20202020 / p. 115-116 : ill https://www.ester.ee/record=b5291755*est
- IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaksRaja, Hadi Ashraf2023 https://doi.org/10.23658/taltech.20/2023 https://digikogu.taltech.ee/et/Item/3015334f-c32b-43ae-ba2d-bfcda536aba5 https://www.ester.ee/record=b5558656*est
- IoT based tools for data acquisition and monitoring of electrical machinesRaja, Hadi Ashraf20th International Symposium "Topical problems in the field of electrical and power engineering. Doctoral school of energy and geotechnology. III" : Tallinn, Estonia, September 8-10, 20212021 / p. 85-86 : ill https://www.ester.ee/record=b5457278*est
- IoT based tools for data acquisition in electrical machines and roboticsRaja, Hadi Ashraf; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants; Belahcen, Anouar2021 IEEE 19th International Power Electronics and Motion Control Conference, The Silesian University of Technology Gliwice, Poland, 25 - 29 April, 2021 (PEMC) : proceedings2021 / p. 737-742 : ill https://doi.org/10.1109/PEMC48073.2021.9432553
- Machine learning and deep learning techniques for residential load forecasting : a comparative analysisShabbir, Noman; Kütt, Lauri; Raja, Hadi Ashraf; Ahmadiahangar, Roya; Rosin, Argo; Husev, Oleksandr2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON): conference proceedings2021 / p. 1-5 https://doi.org/10.1109/RTUCON53541.2021.9711741
- MWFA model based synthetic data creation and utilization for the training of XGBoost based fault diagnostic algorithm of a squirrel cage induction motorAsad, Bilal; Khan, Muhammad Amir; Raja, Hadi Ashraf; Vaimann, Toomas; Kallaste, Ants; Naseer, Muhammad Usman2024 International Conference on Electrical Machines (ICEM)2024 / 7 p https://doi.org/10.1109/ICEM60801.2024.10700453
- 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 https://www.scopus.com/sourceid/56670 https://www.scopus.com/pages/publications/105001003854?inward
- Neuro-fuzzy framework for fault prediction in electrical machines via vibration analysisKudelina, Karolina; Raja, Hadi AshrafEnergies2024 / art. 2818 https://doi.org/10.3390/en17122818 https://www.scopus.com/sourceid/62932 https://www.scopus.com/pages/publications/85197113386?inward https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ENERGIES&year=2024 https://www.webofscience.com/wos/woscc/full-record/WOS:001256201000001
- 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
- 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
- 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
- Residential load forecasting using recurrent neural networksShabbir, Noman; Ahmadiahangar, Roya; Raja, Hadi Ashraf; Kütt, Lauri; Rosin, Argo2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings2020 / p. 478-481 : ill https://doi.org/10.1109/CPE-POWERENG48600.2020.9161565
- A review of harmonic detection, suppression, aggregation and estimation techniquesDaniel, Kamran; Kütt, Lauri; Iqbal, Muhammad Naveed; Shabbir, Noman; Raja, Hadi Ashraf; Sardar, Muhammad UsmanApplied sciences2024 / art. 10966 https://doi.org/10.3390/app142310966
- 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
- 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 https://www.scopus.com/sourceid/62932 https://www.scopus.com/record/display.uri?eid=2-s2.0-85144620308&origin=inward&txGid=ca51dc042539c7e8f4437b4f022d6288 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ENERGIES&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000902653700001
- 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
- Techno-economic analysis and energy forecasting study of domestic and commercial photovoltaic system installations in EstoniaShabbir, Noman; Kütt, Lauri; Raja, Hadi Ashraf; Jawad, Muhammad; Allik, Alo; Husev, OleksandrEnergy2022 / art. 124156 https://doi.org/10.1016/j.energy.2022.124156 https://www.scopus.com/sourceid/29348 https://www.scopus.com/record/display.uri?eid=2-s2.0-85129950760&origin=inward&txGid=b9aa868b7f008de87b9e1de690d1e598 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ENERGY&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000808012500006