Title :
Fault prediction research based on the data analysis of servo feed system on CNC
Author :
Zhi Gao ; Bangcheng Zhang ; Xiaojing Yin ; Minmin Chen ; Ding Wang
Author_Institution :
Sch. of Mechatron. Eng. & Soft Technol., Changchun Univ. of Technol., Changchun, China
Abstract :
Aiming at the problem that servo feed system fault of CNC is difficult to detect and forecast, data analysis method was adopted to predict the servo feed system fault of CNC. A typical data analysis method Wavelet analysis was used to decompose vibration signal of the servo feed system fault, which was obtained when a CNC was running to determine the characteristics that can show the characteristics of system failure. According to change trend of characteristics, signal development trend of system fault was analysed to predict the servo feed system fault of CNC. The experimental results showed that the method can effectively forecast the servo feed system fault of CNC and meet forecast requirements.
Keywords :
computerised numerical control; data analysis; fault diagnosis; machine tools; production engineering computing; servomechanisms; signal processing; vibrations; wavelet transforms; CNC; computerised numerical control; data analysis; fault prediction; servo feed system; vibration signal decomposition; wavelet analysis; Computer numerical control; Fault diagnosis; Feeds; Machine tools; Servomotors; Vibrations; Wavelet transforms; CNC; Data Analysis; Fault Prediction; Servo Feed System;
Conference_Titel :
Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
Conference_Location :
Zhangiiaijie
Print_ISBN :
978-1-4799-7957-8
DOI :
10.1109/PHM.2014.6988152
