Zobrazeno 1 - 1
of 1
pro vyhledávání: '"Zekai Si"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract To ensure the reliability of machining quality, it is crucial to predict tool wear accurately. In this paper, a novel deep learning-based model is proposed, which synthesizes the advantages of power spectral density (PSD), convolutional neur
Externí odkaz:
https://doaj.org/article/20150b8c24cb4681b9f4b41447cdc286