Improved diagnostic approach for BRB detection and classification in inverter-driven induction motors employing sparse stacked autoencoder (SSAE) and lightGBM
author
Khan, Muhammad Amir
Asad, Bilal
Vaimann, Toomas
Kallaste, Ants
statement of authorship
Muhammad Amir Khan, Bilal Asad, Toomas Vaimann and Ants Kallaste
source
Electronics (Switzerland)
publisher
MDPI
journal volume number month
vol. 13, 7
year of publication
2024
pages
art. 1292
url
https://doi.org/10.3390/electronics13071292
subject term
elektrimasinad
asünkroonmootorid
rootorid
vead
diagnostika (tehnika)
tehisintellekt
prognoosmudelid
keyword
electrical machines
condition monitoring
induction motors
rotor faults
feature importance
broken rotor bars diagnosis
gradient boosting
LightGBM
artificial intelligence (AI)
predictive maintenance
fault classification
motor current signature analysis
ISSN
2079-9292
notes
Special Issue: Emerging Theory and Applications in Fault Diagnosis and Motor Drive Control
Bibliogr.: 42 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
scopus
TTÜ department
elektroenergeetika ja mehhatroonika instituut
language
inglise