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1 Ergebnisse
1
Using Historical Activity Data for RTU Fault Prediction wit..:
, In:
2023 IEEE Conference on Technologies for Sustainability (SusTech)
,
Lin, Alec Zhixiao
;
Nyugen, Michelle Uyen
- p. 263-268 , 2023
Link:
https://doi.org/10.1109/SusTech57309.2023.10129641
RT T1
2023 IEEE Conference on Technologies for Sustainability (SusTech)
: T1
Using Historical Activity Data for RTU Fault Prediction with Machine Learning and Deep Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-10129641&Exemplar=1&LAN=DE A1 Lin, Alec Zhixiao A1 Nyugen, Michelle Uyen YR 2023 K1 Deep learning K1 Companies K1 Predictive models K1 Maintenance engineering K1 Data aggregation K1 Feature extraction K1 Sustainable development K1 RTU K1 Fault Prediction K1 Machine Learning K1 Deep Learning K1 Feature Generation K1 Ensemble Method K1 K-means clustering SP 263 OP 268 LK http://dx.doi.org/https://doi.org/10.1109/SusTech57309.2023.10129641 DO https://doi.org/10.1109/SusTech57309.2023.10129641 SF ELIB - SuUB Bremen
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