2 papers
cs.LG2018
An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process
Yuanzhi Huang, Eamonn Ahearne, Szymon Baron +1
We examined the use of three conventional anomaly detection methods and assess their potential for on-line tool wear monitoring. Through efficient data processing and transformatio…
stat.AP2016
Prediction of tool-wear in turning of medical grade cobalt chromium molybdenum alloy (ASTM F75) using non-parametric Bayesian models
Damien McParland, Szymon Baron, Sarah O'Rourke +3
We present a novel approach to estimating the effect of control parameters on tool wear rates and related changes in the three force components in turning of medical grade Co-Cr-Mo…