Research on measurement of pulsed-GTAW process by multiple sensors

Bo Chen; Hongtao Zhang; Shanben Chen; Jicai Feng

doi:10.4028/www.scientific.net/AMM.157-158.185

Research on measurement of pulsed-GTAW process by multiple sensors

Bo Chen^*
, Hongtao Zhang
, Shanben Chen
, Jicai Feng

^*Corresponding author for this work

Harbin Institute of Technology Weihai
Shanghai Jiao Tong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Welding process is a non-linear, multi-variable and time-varying process accompanied by many interference factors such as dust, intense arc and electromagnetism, so it is difficult to obtain accurate information reflecting the welding process status, let alone controlling the process precisely. This paper used arc sensor, sound sensor and visual sensor simultaneously to obtain different information of the pulsed-GTAW process, and SVM was used to fuse the information to predict the quality of the welding process, experiment results showed multi-sensor information fusion could predict the process more precisely. This laid the foundation for further controlling the welding quality automatically and intelligently.

Original language	English
Title of host publication	Mechatronics and Applied Mechanics
Pages	185-188
Number of pages	4
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.157-158.185
State	Published - 2012
Externally published	Yes
Event	Mechatronics and Applied Mechanics - Hong Kong, Hong Kong Duration: 27 Dec 2011 → 28 Dec 2011

Publication series

Name	Applied Mechanics and Materials
Volume	157-158
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Conference

Conference	Mechatronics and Applied Mechanics
Country/Territory	Hong Kong
City	Hong Kong
Period	27/12/11 → 28/12/11

Keywords

Multi-sensor information fusion
Pulsed-GTAW
Welding automation

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10.4028/www.scientific.net/AMM.157-158.185

Cite this

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title = "Research on measurement of pulsed-GTAW process by multiple sensors",

abstract = "Welding process is a non-linear, multi-variable and time-varying process accompanied by many interference factors such as dust, intense arc and electromagnetism, so it is difficult to obtain accurate information reflecting the welding process status, let alone controlling the process precisely. This paper used arc sensor, sound sensor and visual sensor simultaneously to obtain different information of the pulsed-GTAW process, and SVM was used to fuse the information to predict the quality of the welding process, experiment results showed multi-sensor information fusion could predict the process more precisely. This laid the foundation for further controlling the welding quality automatically and intelligently.",

keywords = "Multi-sensor information fusion, Pulsed-GTAW, Welding automation",

author = "Bo Chen and Hongtao Zhang and Shanben Chen and Jicai Feng",

year = "2012",

doi = "10.4028/www.scientific.net/AMM.157-158.185",

language = "英语",

isbn = "9783037853801",

series = "Applied Mechanics and Materials",

pages = "185--188",

booktitle = "Mechatronics and Applied Mechanics",

note = "Mechatronics and Applied Mechanics ; Conference date: 27-12-2011 Through 28-12-2011",

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TY - GEN

T1 - Research on measurement of pulsed-GTAW process by multiple sensors

AU - Chen, Bo

AU - Zhang, Hongtao

AU - Chen, Shanben

AU - Feng, Jicai

PY - 2012

Y1 - 2012

N2 - Welding process is a non-linear, multi-variable and time-varying process accompanied by many interference factors such as dust, intense arc and electromagnetism, so it is difficult to obtain accurate information reflecting the welding process status, let alone controlling the process precisely. This paper used arc sensor, sound sensor and visual sensor simultaneously to obtain different information of the pulsed-GTAW process, and SVM was used to fuse the information to predict the quality of the welding process, experiment results showed multi-sensor information fusion could predict the process more precisely. This laid the foundation for further controlling the welding quality automatically and intelligently.

AB - Welding process is a non-linear, multi-variable and time-varying process accompanied by many interference factors such as dust, intense arc and electromagnetism, so it is difficult to obtain accurate information reflecting the welding process status, let alone controlling the process precisely. This paper used arc sensor, sound sensor and visual sensor simultaneously to obtain different information of the pulsed-GTAW process, and SVM was used to fuse the information to predict the quality of the welding process, experiment results showed multi-sensor information fusion could predict the process more precisely. This laid the foundation for further controlling the welding quality automatically and intelligently.

KW - Multi-sensor information fusion

KW - Pulsed-GTAW

KW - Welding automation

UR - https://www.scopus.com/pages/publications/84863239464

U2 - 10.4028/www.scientific.net/AMM.157-158.185

DO - 10.4028/www.scientific.net/AMM.157-158.185

M3 - 会议稿件

AN - SCOPUS:84863239464

SN - 9783037853801

T3 - Applied Mechanics and Materials

SP - 185

EP - 188

BT - Mechatronics and Applied Mechanics

T2 - Mechatronics and Applied Mechanics

Y2 - 27 December 2011 through 28 December 2011

ER -

Research on measurement of pulsed-GTAW process by multiple sensors

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Keywords

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