Title :
Time Series Modeling and Analysis of Cutter Wear in Milling Operation
Author :
Mingjin, Yang ; Xiwen, Li ; Tielin, Shi ; Shuzi, Yang
Author_Institution :
Southwest Univ., Chongqing, China
Abstract :
The online time series Auto Regressive Models were built to analyze and monitor the cutter wear of a milling operation. The experimental setup and data acquisition scheme were presented to test the validity of these models. Signals of spindle motor power, displacement and acceleration of the milling were used for time series modeling and analysis. Experiment and analysis results showed that the models of signals of displacement in Y-axis and acceleration in X-axis are sensitive to cutter wear of the milling, and they can be employed as cutter wear conditions monitoring in the milling operation.
Keywords :
autoregressive processes; condition monitoring; cutting tools; data acquisition; milling machines; time series; wear testing; cutter wear analysis; data acquisition scheme; milling acceleration; milling displacement; online time series auto regressive model; spindle motor power signal; Acceleration; Analytical models; Data acquisition; Mathematical model; Milling; Monitoring; Time series analysis; Analysis; Cutter Wear Condition; Milling Operation; Modeling; Time Series Method;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location :
Shangshai
Print_ISBN :
978-1-4244-9010-3
DOI :
10.1109/ICMTMA.2011.826
