Unsupervised Machining Recognition from a Vibration Signal
Lajber Kristóf,
Dr Andó Mátyás
Abstract:Objectives
In unattended machining, monitoring the cutting processes holds significant importance. A crucial aspect to consider is whether chip formation occurs at a specific moment or not. Acquiring this knowledge can enhance production reliability and minimize losses.
Methods
To address this, an algorithm is proposed for detecting chip formation using vibration signals obtained from a CNC machine. The algorithm relies on the spindle RPM and vibration sig… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.