Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1997.07b
- /
- Pages.406-408
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- 1997
A Development of Advanced Monitoring System for Resistance Spot Welding Machine using Neural Networks
신경회로망을 이용한 스폿용접의 개선된 감시 시스템의 개발
- Hong, Su-Dong (Dep. of Electronics, Kumoh Nat. Univ. of tech.) ;
-
Kim, Sang-Hee
(Dep. of Electronics, Kumoh Nat. Univ. of tech.)
;
- Eem, Jae-Kwon (Dep. of Electronics, Kumoh Nat. Univ. of tech.) ;
-
Choi, Han-Go
(Dep. of Electronics, Kumoh Nat. Univ. of tech.)
- 홍수동 (금오공과대학교 전자공학과, 전자제어공학과) ;
-
김상희
(금오공과대학교 전자공학과, 전자제어공학과)
;
- 임재권 (금오공과대학교 전자공학과, 전자제어공학과) ;
-
최한고
(금오공과대학교 전자공학과, 전자제어공학과)
- Published : 1997.07.21
Abstract
This paper presents the new method of a nondestructive spot welding state inspection system using neural networks. The learning process of neural networks makes the inspection system to adapt the variable welding parameters. The inspecting process is working with on-line real-time after off-line learning process. This neural network based inspection system shows reliable results through the field test for variations of applied voltages, currents, and contact area of the welding electrode.
Keywords