Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Oroko Joanes Agung'"'
Publikováno v:
Engineering Reports, Vol 6, Iss 6, Pp n/a-n/a (2024)
Abstract Development of an effective tool wear monitor requires maximum utilization of information from associated data, especially in machine learning based modeling. However, vastly varied annotated training data is required, which is not only expe
Externí odkaz:
https://doaj.org/article/614a365f6fb1457e8f618bc9bd552445
Publikováno v:
Engineering Reports, Vol 5, Iss 5, Pp n/a-n/a (2023)
Abstract Online determination of a cutter's health status is crucial for the attainment of condition‐based automated tool change in computer numerically controlled (CNC) machining. Due to the impracticalities associated with direct condition measur
Externí odkaz:
https://doaj.org/article/1c9a9a85286e460b8a4ebdc0f72dae1b