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A neuro-fuzzy approach for broken rotor bar fault prediction in induction motors via current spectrum analysis

author
Raja, Hadi Ashraf
Vaimann, Toomas
Asad, Bilal
Kallaste, Ants
Sardar, Muhammad Usman
source
2025 IEEE Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)
publisher
IEEE
year of publication
2025
pages
7 p
conference name, date
15th International 2025 IEEE Symposium on Diagnostics for Electrical Machines,Power Electronics and Drives (SDEMPED), 24-27 August 2025
conference location
Dallas, Texas, USA
url
https://doi.org/10.1109/SDEMPED53223.2025.11154194
subject term
tehisnärvivõrgud
tehisintellekt
hägusloogika
elektrimasinad
diagnostika (tehnika)
keyword
neural networks
artificial intelligence (AI)
fuzzy logic
electrical machines
predictive maintenance
rotor bars
diagnostics of electrical machines
ISBN
979-8-3503-8821-3
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
Department of Electrical Power Engineering and Mechatronics
language
English
Raja, H. A., Vaimann, T., Asad, B., Kallaste, A., Sardar, M. U. A neuro-fuzzy approach for broken rotor bar fault prediction in induction motors via current spectrum analysis // 2025 IEEE Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED). : IEEE, 2025. 7 p. https://doi.org/10.1109/SDEMPED53223.2025.11154194