Intelligent Monitor and Control System for Grinding Process

2006 ◽  
Vol 304-305 ◽  
pp. 535-539 ◽  
Author(s):  
Gui Jie Liu ◽  
Ya Dong Gong ◽  
Wan Shan Wang

The intelligent monitor and control system for grinding process is proposed in this paper, it utilizes the nonlinear modeling theory and self-learning capability of neural network to setup non-liner mapping relations between grinding conditions and AE signals, and to realize grinding process intelligent monitor and control by picking-up grinding AE signals on line. Grinding quality can be monitored on-line, starting parameters for grinding process can be selected, on-line intelligent adjustment of grinding conditions also can bee realized by using this system.

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