Raja, H. A., Kudelina, K., Rjabtšikov, V., Vaimann, T., Kallaste, A., Pomarnacki, R., Hyunh, V. K.

Digital twin of wind generator to simulate different turbine characteristics using IoT

author

Raja, Hadi Ashraf

Kudelina, Karolina

Rjabtšikov, Viktor

Vaimann, Toomas

Kallaste, Ants

Pomarnacki, Raimondas

Hyunh, Van Khang

statement of authorship

Hadi Ashraf Raja, Karolina Kudelina, Viktor Rjabtšikov, Toomas Vaimann, Ants Kallaste, Raimondas Pomarnacki, Van Khang Hyunh

source

Proceedings of the Future Technologies Conference (FTC) 2023. Vol. 1

location of publication

Cham

publisher

Springer Nature Switzerland AG

year of publication

2023

pages

p. 123-132

series

Lecture Notes in Networks and Systems ; 813

conference name, date

8th Future Technologies Conference, FTC 2023, 2-3 November, 2023

conference location

San Francisco, USA

url

https://doi.org/10.1007/978-3-031-47454-5_9

subject term

veaavastus

diagnostika (tehnika)

prognoosmudelid

elektrituulikud

Scopus

TTÜ subject term

digikaksikud

keyword

digital twin

fault diagnosis

predictive models

servomotors

wind energy generation

ISSN

2367-3370

ISBN

978-303147453-8

notes

Bibliogr.: 11 ref

scientific publication

teaduspublikatsioon

classifier

3.1

TTÜ department

elektroenergeetika ja mehhatroonika instituut

language

inglise

Uurimisrühm

Electrical machines research group

Raja, H. A., Kudelina, K., Rjabtšikov, V., Vaimann, T., Kallaste, A., Pomarnacki, R., Hyunh, V. K. Digital twin of wind generator to simulate different turbine characteristics using IoT // Proceedings of the Future Technologies Conference (FTC) 2023. Vol. 1. Cham : Springer Nature Switzerland AG, 2023. p. 123-132. (Lecture Notes in Networks and Systems ; 813). https://doi.org/10.1007/978-3-031-47454-5_9