Title :
Application of artificial neural networks to strip steel surface defect diagnosis
Author :
Qinghe, Hu ; Jiazhuo, Xu ; Weidong, Chen ; Dalei, Yang
Author_Institution :
Coll. of Inf. & Sci. Eng., Northeastern Univ., Shenyang, China
Abstract :
Based on the analysis of strip steel surface quality examination carried at home and abroad, the paper analyzes flaws and corresponding factors beginning with the design of examination system. It studies deeply the related theories and key techniques of strip steel surface quality examination system, applied neural networks for strip steel surface defect recognizing successfully. It is applied successfully to whole flow quality control technique and equipment composite diagnosis system (TQC-DS) in a steel company.
Keywords :
artificial intelligence; fault diagnosis; neural nets; production engineering computing; quality control; steel industry; artificial neural networks; equipment composite diagnosis system; steel company; strip steel surface defect diagnosis; strip steel surface quality examination; surface defect recognition; surface quality examination system; whole flow quality control technique; Artificial neural networks; Companies; Flow production systems; Inspection; Manufacturing processes; Neural networks; Production systems; Quality control; Steel; Strips; Defect recognition; Neural network; Strip steel surface defect diagnosis; Whole flow quality control;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5192460
