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Detection of fatigue degradation in austenitic stainless st..:
Heckmann, Klaus
;
Acosta, Ruth
;
Bill, Tobias
...
Journal of Materials Research and Technology. 27 (2023) - p. 7336-7346 , 2023
Link:
https://doi.org/10.1016/j.jmrt.2023.11.176
RT Journal T1 <Title>Detection of fatigue degradation in austenitic stainless steel with eddy current probe and machine learning</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jmrt.2023.11.176&Exemplar=1&LAN=DE A1 Heckmann, Klaus A1 Acosta, Ruth A1 Bill, Tobias A1 Donnerbauer, Kai A1 Boller, Christian A1 Sievers, Jürgen A1 Barrientos, Marina Macias A1 Walther, Frank A1 Starke, Peter PB Elsevier BV YR 2023 SN 2238-7854 JF Journal of Materials Research and Technology VO 27 SP 7336 OP 7346 LK http://dx.doi.org/https://doi.org/10.1016/j.jmrt.2023.11.176 DO https://doi.org/10.1016/j.jmrt.2023.11.176 SF ELIB - SuUB Bremen
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