Proceedings of the Korean Institute of Information and Commucation Sciences Conference (한국정보통신학회:학술대회논문집)
- 2000.10a
- /
- Pages.642-646
- /
- 2000
Neuro-Fuzzy Diagnosis System for the Welding Condition of the CAL Recess
CAL공정내 용접상태에 대한 뉴로-퍼지 진단시스템
-
Kim, Kyong-Min
(Yosu University)
;
-
Kim, Yi-Gon
(Yosu University)
;
- Park, Joong-Jo (Gyungsang University) ;
-
Song, Myung-Hyun
(Sunchun University)
;
-
Choi, Nam-Sup
(Yosu University)
;
- Jung, Yang-Hee (Yosu University) ;
-
Lee, Bhum
(Yosu University)
;
- Bae, Young-Chul (Yosu University)
-
김경민
(여수대학교 전기공학과)
;
-
김이곤
(여수대학교 전기공학과)
;
- 박중조 (경상대학교 제어계측공학과) ;
-
송명현
(순천대학교 전기제어공학과)
;
-
최남섭
(여수대학교 전기공학과)
;
- 정양희 (여수대학교 전기공학과) ;
-
이범
(여수대학교 전기공학과)
;
- 배영철 (여수대학교 전기공학과)
- Published : 2000.10.01
Abstract
The use of neural-fuzzy system to model mesh seam welding is described in this paper. Conventional, automated process generally involves sophisticated sensing and control techniques applied to various processing parameters. Welding parameters affecting quality include the arc voltage, the welding current torch travel speed and the pressure and so on. The relationship between the welding parameters and weld quality is not a direct one, md' in addition, the effect of the weld parameter variables are not independent of the each other. The effectiveness of the proposed neuro-fuzzy algorithms is demonstrated by computer simulations.
Keywords