Deep learning approach for predicting crack initiation position and size in a steam turbine blade using frequency response and model order reduction
Crossref DOI link: https://doi.org/10.1007/s12206-024-0329-0
Published Online: 2024-04-18
Published Print: 2024-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Seo, Hee Won
Han, Jeong Sam
Text and Data Mining valid from 2024-04-01
Version of Record valid from 2024-04-01
Article History
Received: 24 July 2023
Revised: 3 December 2023
Accepted: 8 January 2024
First Online: 18 April 2024