TY - JOUR
T1 - Study on Condition Monitoring of Lathe Cutting State under Various Cutting Conditions Based on Motor Current Signature Analysis
AU - Huang, Shiqing
AU - Zou, Zhexiang
AU - Lin, Yubin
AU - Gu, Fengshou
N1 - Conference code: 2
PY - 2020/11/25
Y1 - 2020/11/25
N2 - Lathe machining occupies a large proportion in modern production and processing, which affects the machining accuracy of the workpiece and results in vibration and noise of the machine tool. To improve the efficiency of lathe cutting state monitoring, this paper presents a new method on studying the monitoring of lathe tool, with Motor Current Signal Analysis (MCSA) as the main research method, the characteristics of stator's working current are selected as the analysis object. Three cutting depths, 1mm, 2mm, and 3mm are respectively performed on the same workpiece material, and the cutting conditions are blunt tool and sharp tool. The frequency characteristic of the current is analyzed the under various cutting conditions mentioned above and the internal relation of the current variation and the cutting condition is presented as the conclusion of this paper, by which provides a new idea for the research of conditions monitoring and fault diagnosis in field operation on lathe tool.
AB - Lathe machining occupies a large proportion in modern production and processing, which affects the machining accuracy of the workpiece and results in vibration and noise of the machine tool. To improve the efficiency of lathe cutting state monitoring, this paper presents a new method on studying the monitoring of lathe tool, with Motor Current Signal Analysis (MCSA) as the main research method, the characteristics of stator's working current are selected as the analysis object. Three cutting depths, 1mm, 2mm, and 3mm are respectively performed on the same workpiece material, and the cutting conditions are blunt tool and sharp tool. The frequency characteristic of the current is analyzed the under various cutting conditions mentioned above and the internal relation of the current variation and the cutting condition is presented as the conclusion of this paper, by which provides a new idea for the research of conditions monitoring and fault diagnosis in field operation on lathe tool.
KW - Artificial intelligence
KW - Electrical fault currents
KW - Lathes
KW - Machining
UR - http://www.scopus.com/inward/record.url?scp=85097616782&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1651/1/012054
DO - 10.1088/1742-6596/1651/1/012054
M3 - Conference article
AN - SCOPUS:85097616782
VL - 1651
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 1
M1 - 012054
T2 - 2nd International Conference on Artificial Intelligence Technologies and Application
Y2 - 21 August 2020 through 23 August 2020
ER -