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

fYear

2008

fDate

21-24 April 2008

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICIT.2008.4608516

Filename

4608516