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Cost-efficient real-time condition monitoring and fault diagnostics system for BLDC motor using IoT and Machine learning

author
statement of authorship
Hadi Ashraf Raja, Hardik Raval, Toomas Vaimann, Ants Kallaste, Anton Rassõlkin, Anouar Belahcen
source
publisher
year of publication
pages
4 p.
conference name, date
International Conference on Diagnostics in Electrical Engineering ; 06-08 September 2022
conference location
Pilsen, Czech Republic
url
ISSN
2464-708X
ISBN
978-1-6654-8082-6
scientific publication
teaduspublikatsioon
TTÜ department
language
inglise
Reserch Group
Electrical machines research group
Mechatronics and autonomous systems centre
Raja, H. A., Raval, H., Vaimann, T., Kallaste, A., Rassõlkin, A., Belahcen, A. Cost-efficient real-time condition monitoring and fault diagnostics system for BLDC motor using IoT and Machine learning // Diagnostika '22 : 2022 International Conference on Diagnostics in Electrical Engineering : conference proceedings. : IEEE, 2022. 4 p.. https://doi.org/10.1109/Diagnostika55131.2022.9905102