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1 Ergebnisse
1
Performance of Machine-Learning-Based Algorithms for Anomal..:
, In:
2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)
,
Surowka, Artur D.
;
Tan, Ruomu
;
Saberi, Alireza Nemat
. - p. 317-323 , 2023
Link:
https://doi.org/10.1109/SDEMPED54949.2023.10271477
RT T1 <cTitle>2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)</cTitle>: T1 <Title>Performance of Machine-Learning-Based Algorithms for Anomaly Detection in Variable Frequency Drives Using Temperature Signals</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10271477&Exemplar=1&LAN=DE A1 Surowka, Artur D. A1 Tan, Ruomu A1 Saberi, Alireza Nemat A1 Firla, Marcin YR 2023 K1 Temperature sensors K1 Condition monitoring K1 Vibrations K1 Temperature distribution K1 Time series analysis K1 Hidden Markov models K1 Variable speed drives K1 variable frequency drives K1 anomaly detection K1 hidden Markov models K1 deep autoencoders K1 kernel principal component analysis K1 out of bounds anomaly score SP 317 OP 323 LK http://dx.doi.org/https://doi.org/10.1109/SDEMPED54949.2023.10271477 DO https://doi.org/10.1109/SDEMPED54949.2023.10271477 SF ELIB - SuUB Bremen
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