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1 Ergebnisse
1
Comparative Analysis of Machine Learning Techniques for Bea..:
, In:
2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)
,
Kumar, Anischal
;
Groza, Voicu
;
Raj, Krish K
... - p. 000575-000580 , 2023
Link:
https://doi.org/10.1109/SACI58269.2023.10158554
RT T1 <cTitle>2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI)</cTitle>: T1 <Title>Comparative Analysis of Machine Learning Techniques for Bearing Fault Classification in Rotating Machinery</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10158554&Exemplar=1&LAN=DE A1 Kumar, Anischal A1 Groza, Voicu A1 Raj, Krish K A1 Assaf, Mansour H A1 Kumar, Shahil A1 Kumar, Rahul R YR 2023 SN 2765-818X K1 Fault diagnosis K1 Training K1 Support vector machines K1 Rotating machines K1 Feature extraction K1 Nonhomogeneous media K1 Convolutional neural networks K1 machine learning K1 neural networks K1 bearing fault K1 classifier K1 principal component analysis K1 fault detection K1 feature extraction SP 000575 OP 000580 LK http://dx.doi.org/https://doi.org/10.1109/SACI58269.2023.10158554 DO https://doi.org/10.1109/SACI58269.2023.10158554 SF ELIB - SuUB Bremen
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