MWFA model based synthetic data creation and utilization for the training of XGBoost based fault diagnostic algorithm of a squirrel cage induction motor
author
Asad, Bilal
Khan, Muhammad Amir
Raja, Hadi Ashraf
Vaimann, Toomas
Kallaste, Ants
Naseer, Muhammad Usman
statement of authorship
Bilal Asad, Muhammad Amir Khan, Hadi Ashraf Raja, Toomas Vaimann, Ants Kallaste, Muhammad Usman Naseer
source
2024 International Conference on Electrical Machines (ICEM)
publisher
IEEE
year of publication
2024
pages
7 p
conference name, date
26th International Conference on Electrical Machines (ICEM), 1-4 September 2024
conference location
Torino, Italy
url
https://doi.org/10.1109/ICEM60801.2024.10700453
subject term
tehisintellekt
veaavastus
asünkroonmootorid
matemaatiline modelleerimine
keyword
artificial intelligence (AI)
fault diagnosis
induction motors
mathematical models
ISBN
9798350370607
notes
Bibliogr.: 25 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
elektroenergeetika ja mehhatroonika instituut
language
inglise