Title :
Data detection and pattern recognition on FMS control charts
Author :
Chen, Ping ; Luo, Jing
Author_Institution :
Dept. of Electr. Eng., Harbin Inst. of Technol., Harbin
Abstract :
The quality control system in the flexible manufacturing system (FMS) is analyzed. A simple and practical construction of quality control system is introduced. The pattern recognition of the quality control charts based on neural network is presented. The trained neural network can not only recognize six basic patterns of the quality control charts, but also recognize the hybrid pattern composed of two basic patterns. At last, the simulation result is given.
Keywords :
control charts; flexible manufacturing systems; learning (artificial intelligence); pattern recognition; production engineering computing; quality control; FMS control charts; data detection; flexible manufacturing system; pattern recognition; quality control system; trained neural network; Communication standards; Control charts; Data acquisition; Flexible manufacturing systems; Measurement standards; Neural networks; Pattern recognition; Quality control; Radio communication; State estimation; Control charts; FMS; Neural network; Pattern recognition; Simulation;
Conference_Titel :
Industrial Technology, 2008. ICIT 2008. IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1705-6
Electronic_ISBN :
978-1-4244-1706-3
DOI :
10.1109/ICIT.2008.4608516
