Title :
Dynamic forecasting for vibration of CNC lathe using grey bootstrap model
Author :
Tao Jiang-ping ; Lv Tao-mei
Author_Institution :
Ping Gao Group Co. Ltd., Pingdingshan, China
Abstract :
In order to realize online monitoring and forecasting of CNC lathe faults, firstly, grey bootstrap model is proposed to forecast vibration of tool rest; secondly, the vibration signal of CNC Lathe is collected, and the effectiveness of the model is verified. The experimental study is shown that grey bootstrap model possesses high forecast accuracy, and the maximum and the mean of the relative errors of the predicted results are respectively 7.61% and 2.64%, and the reliability of the predicted interval is proved to be 100%. The point forecasting and interval forecasting are actualized at the given time and the given confidence level, only with very small predicted errors. This can solve the problem of dynamic evaluation of vibration signal of CNC lathe.
Keywords :
computerised numerical control; condition monitoring; fault diagnosis; grey systems; lathes; statistical analysis; vibrations; CNC lathe; fault detection; grey bootstrap model; online monitoring; vibration dynamic forecasting; Computer numerical control; Data models; Forecasting; Monitoring; Predictive models; Reliability; Vibrations; CNC lathe; Grey bootstrap model; Interval forecasting; Point forecasting; Tool rest vibration;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162217
