Open AccessPhasechronometric performance data processing for lathe operation parameters monitoring
Author(s) -
D. D. Boldasov,
A. S. Komshin,
K. G. Potapov,
A. B. Syritskii
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/971/4/042035
Subject(s) - computer science , process (computing) , state (computer science) , data processing , correlation coefficient , engineering drawing , engineering , machine learning , algorithm , database , operating system
The article describes the problems of processing measuring phase-chronometric information in order to obtain information about the turning process. Similar techniques are used to monitor the current state of the cutting tool, optimize cutting conditions and control the correct operation of the machine. Also, a methodology for determining the parameters of the machine using the Pearson correlation coefficient.