dc.contributor.author | Raja, Hadi Ashraf | |
dc.contributor.author | Autsou, Siarhei | |
dc.contributor.author | Kudelina, Karolina | |
dc.contributor.author | Rjabtšikov, Viktor | |
dc.contributor.author | Vaimann, Toomas | |
dc.contributor.author | Kallaste, Ants | |
dc.contributor.author | Pomarnacki, Raimondas | |
dc.contributor.author | Hyunh, Van Khang | |
dc.date.accessioned | 2023-12-22T07:06:37Z | |
dc.date.available | 2023-12-22T07:06:37Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 2770-7644 | |
dc.identifier.other | (crossref_id)153841720 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/xmlui/handle/123456789/153747 | |
dc.description.abstract | This article describes the digital twin of the wind generator. The model of the turbine provides a valuable tool for monitoring, controlling, and predicting the wind generator’s behavior. This type of algorithm allows for reducing the cost of the turbine and electricity. Also, it provides to develop new types of turbines and optimize existing ones. The concept of the digital twin of a wind generator is shown in the article. Here is a presented description of test bench components. This test bench allows the modeling of various wind generator conditions and helps check its states. The test bench combines the weather sensor, servo motor, servo drive, and wind generator. | eng |
dc.format | PDF | |
dc.format.extent | p. 1-5 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | IEEE Xplore | |
dc.source.uri | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10274050 | |
dc.title | Digital twin of wind generator for modelling various turbine characteristics | |
dc.type | Straipsnis konferencijos darbų leidinyje Scopus DB / Paper in conference publication in Scopus DB | |
dcterms.references | 9 | |
dc.type.pubtype | P1b - Straipsnis konferencijos darbų leidinyje Scopus DB / Article in conference proceedings Scopus DB | |
dc.contributor.institution | Tallinn University of Technology | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | University of Agder | |
dc.contributor.faculty | Elektronikos fakultetas / Faculty of Electronics | |
dc.subject.researchfield | T 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering | |
dc.subject.studydirection | E09 - Elektronikos inžinerija / Electronic engineering | |
dc.subject.studydirection | E08 - Elektros inžinerija / Electrical engineering | |
dc.subject.studydirection | B04 - Informatikos inžinerija / Informatics engineering | |
dc.subject.vgtuprioritizedfields | MC03 - Išmaniosios įterptinės sistemos / Smart embedded systems | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.en | digital twins | |
dc.subject.en | fault diagnosis | |
dc.subject.en | predictive models | |
dc.subject.en | servomotors | |
dc.subject.en | wind energy generation | |
dcterms.sourcetitle | 2023 International Conference on Electrical Drives and Power Electronics, EDPE 2023 - Proceedings, 25-27 September 2023, The High Tatras, Slovakia | |
dc.publisher.name | IEEE | |
dc.identifier.doi | 153841720 | |
dc.identifier.doi | 2-s2.0-85175350779 | |
dc.identifier.doi | 85175350779 | |
dc.identifier.doi | 0 | |
dc.identifier.doi | 10.1109/EDPE58625.2023.10274050 | |
dc.identifier.elaba | 181312151 | |