DocumentCode :
527702
Title :
Intelligent neural network control system for gas metal arc welding
Author :
Yu, Shi ; Weidong, Liang ; Cheng, Xue ; Ding, Fan ; Jianhong, Chen
Author_Institution :
State Key Lab. of Ganus Adv. Non-ferrous Metal Mater., Lanzhou Univ. of Technol., Lanzhou, China
Volume :
3
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
1376
Lastpage :
1379
Abstract :
A neural network control system for keeping arc stability and decreasing the spatter during gas metal arc welding have been created. The characterization and relationship between arc sound and arc stability was studied. Tree kinds of neural network control constructions were presented. After simulated the static and dynamic performance in welding processes, it can be found that the error back propagating model neural network have better properties. The factors affecting the simulating results and the dynamic response quality have also been analyzed.
Keywords :
arc welding; backpropagation; neurocontrollers; stability; arc stability; error back propagating model neural network; gas metal arc welding; intelligent neural network control system; sound stability; Artificial neural networks; Control systems; Electrostatic discharge; Integrated circuit modeling; Metals; Process control; Welding; GMAW; NN control system; arc sounds;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5583868
Filename :
5583868
Link To Document :
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