Open AccessDesign of remote overload monitoring and diagnosis system for electric spindle based on three-axis MEMS device
Author(s) -
Hengrong Cui,
Yuwei Wang,
Tao Liu,
Shaohua Xu
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/768/5/052073
Subject(s) - alarm , signal (programming language) , microelectromechanical systems , measure (data warehouse) , computer science , real time computing , vibration , engineering , computer hardware , electrical engineering , embedded system , acoustics , data mining , physics , quantum mechanics , programming language
The MEMS sensor is used to measure the overload signal of the electric spindle, so as to get response of overload status and send alarm signal to PLC timely, which is a kind of machine controlling tool. By this system, the collision of the electric axes can be avoided effectively. The vibration data of spindle is also can be transmitted real-timely via internet, which is supposed to be combined with data mining and machine learning for daily monitor of spindles and intelligent faults diagnose.