Application of neural network to quality inspect link in CIMS

Author

Liu, Sixing ; Wen, Weining ; Zhou, Zhaoying ; Zhang, Zhongjun

Author_Institution

Dept. of Precision Instrum., Tsinghua Univ., Beijing, China

fYear

1994

fDate

10-12 May 1994

Firstpage

644

Abstract

A new method of quality inspect based on Artificial Neural Network (ANN) in CIMS is proposed in this paper. This link, called “Neural Network Quality Inspect(NQI)” firstly, is introduced into the bottom three levels in CIMS hierarchical control. Intelligent database and an object-oriented method for NN are used. The manufacturing knowledge can be attained semi-automatically. The degree of total system intelligence is much high. Some simulation had been done in IBM/486

Keywords

computer integrated manufacturing; expert systems; manufacturing computer control; neural nets; quality control; ANN; CIMS; CIMS hierarchical control; Neural Network Quality Inspect; expert systems; manufacturing knowledge; neural network; quality inspection; Artificial intelligence; Artificial neural networks; Automatic control; Computer integrated manufacturing; Control systems; Deductive databases; Expert systems; Intelligent networks; Manufacturing processes; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1994. IMTC/94. Conference Proceedings. 10th Anniversary. Advanced Technologies in I & M., 1994 IEEE

Conference_Location

Hamamatsu

Print_ISBN

0-7803-1880-3

Type

conf

DOI

10.1109/IMTC.1994.352016

Filename

352016