An advanced diagnostic approach for broken rotor bar detection and classification in DTC controlled induction motors by leveraging dynamic SHAP interaction feature selection (DSHAP-IFS) GBDT methodology
vastutusandmed
Muhammad Amir Khan, Bilal Asad, Toomas Vaimann, Ants Kallaste
allikas
kirjastus/väljaandja
ajakirja aastakäik number kuu
vol. 12, 7
ilmumisaasta
leheküljed
art. 495
ISSN
2075-1702
märkused
Special Issue: Machine Learning Based Predictive Maintenance and Condition Monitoring
Bibliogr.: 53 ref
Open Access
Open Access
teaduspublikatsioon
teaduspublikatsioon
keel
inglise
klassifikaator
Scopus
scopus
TTÜ struktuuriüksus
Khan, M. A., Asad, B., Vaimann, T., Kallaste, A. An advanced diagnostic approach for broken rotor bar detection and classification in DTC controlled induction motors by leveraging dynamic SHAP interaction feature selection (DSHAP-IFS) GBDT methodology // Machines (2024) vol. 12, 7, art. 495.