학술논문
Identifying Abnormal CFRP Holes Using Both Unsupervised and Supervised Learning Techniques on In-Process Force, Current, and Vibration Signals
Document Type
Article
Author
Source
In: International Journal of Precision Engineering and Manufacturing . (International Journal of Precision Engineering and Manufacturing, June 2022, 23(6):609-625)
Subject
Language
English
ISSN
20054602
22347593
22347593