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1 Ergebnisse
1
Key Elements to Contextualize AI-Driven Condition Monitorin..:
, In:
2022 5th International Conference on Artificial Intelligence for Industries (AI4I)
,
Dadfarnia, Mehdi
;
Sharp, Michael
- p. 38-41 , 2022
Link:
https://doi.org/10.1109/AI4I54798.2022.00017
RT T1
2022 5th International Conference on Artificial Intelligence for Industries (AI4I)
: T1
Key Elements to Contextualize AI-Driven Condition Monitoring Systems towards Their Risk-Based Evaluation
UL https://suche.suub.uni-bremen.de/peid=ieee-10123562&Exemplar=1&LAN=DE A1 Dadfarnia, Mehdi A1 Sharp, Michael YR 2022 SN 2770-4718 K1 Condition monitoring K1 Industries K1 Maintenance engineering K1 Loss measurement K1 Risk management K1 Artificial intelligence K1 Task analysis K1 condition monitoring systems K1 algorithm evaluation K1 asset management K1 risk assessment K1 production maintenance SP 38 OP 41 LK http://dx.doi.org/https://doi.org/10.1109/AI4I54798.2022.00017 DO https://doi.org/10.1109/AI4I54798.2022.00017 SF ELIB - SuUB Bremen
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