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1 Ergebnisse
1
Remaining Useful Life Improvement for Electrical Machines U..:
, In:
2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
,
Rachna
;
Ruchi
;
Kaur, Sukhdeep
. - p. 1-4 , 2024
Link:
https://doi.org/10.1109/ICRITO61523.2024.10522291
RT T1 <cTitle>2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)</cTitle>: T1 <Title>Remaining Useful Life Improvement for Electrical Machines Using Ensemble Learning Technique</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10522291&Exemplar=1&LAN=DE A1 Rachna A1 Ruchi A1 Kaur, Sukhdeep A1 Sharma, Avinash YR 2024 SN 2769-2884 K1 Analytical models K1 Predictive models K1 Market research K1 Boosting K1 Reliability K1 Ensemble learning K1 Root mean square K1 Remaining useful life (RUL) K1 Logistic regression (LR) Extreme gradient boosting (XGBoost). Root mean square error (RMSE) K1 Mean average error (MAE) SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ICRITO61523.2024.10522291 DO https://doi.org/10.1109/ICRITO61523.2024.10522291 SF ELIB - SuUB Bremen
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