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
statement of authorship
Muhammad Amir Khan, Bilal Asad, Toomas Vaimann, Ants Kallaste
source
publisher
journal volume number month
vol. 12, 7
year of publication
pages
art. 495
subject term
keyword
ISSN
2075-1702
notes
Special Issue: Machine Learning Based Predictive Maintenance and Condition Monitoring
Bibliogr.: 53 ref
Open Access
oa
scientific publication
teaduspublikatsioon
classifier
Scopus
scopus
TTÜ department
language
inglise
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.