DocumentCode :
669623
Title :
A study on signal processing algorithm for seam tracking in pipeline welding
Author :
Hyeong-Soon Moon ; Jong-Cheol Kim ; Jong-Jun Kim ; Young-Baek Kim
Author_Institution :
Autom. & Control Res. Dept., Hyundai Heavy Ind. Co., Ltd., Ulsan, South Korea
fYear :
2013
fDate :
20-23 Oct. 2013
Firstpage :
1618
Lastpage :
1622
Abstract :
The productivity and reliability are regarded as most essential features of the automatic welding system. From practical point of view, the carriage and band system has been verified as one of most effective welding systems for pipeline laying. The productivity depends on several parameters such as a performance of the welding system, the level of operator´s skill and the reliable sensor systems. This application-oriented paper introduces new automatic welding equipment for pipeline construction. It is based on cutting-edge design and practical welding physics to minimize downtime due to the system faults. This paper also describes the control system which was designed and implemented for the automatic welding equipment. The system has the self diagnostic function which facilitates maintenance and repairs, and has the wireless network function via which the welding task data can be transmitted and monitored. The signal processing algorithm was also developed for the narrow welding groove in order to implement higher accuracy of seam tracking and fully automatic operation.
Keywords :
sensors; signal processing; welding; automatic welding equipment; automatic welding system; cutting edge design; pipeline laying; pipeline welding; reliable sensor systems; seam tracking; signal processing algorithm; Maintenance engineering; Pipelines; Sensitivity; Weaving; Welding; Arc Sensor; Offshore Construction; Pipeline Welding; Pulse Welding; Self-Diagnostic; Twin Tandem Welding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2013 13th International Conference on
Conference_Location :
Gwangju
ISSN :
2093-7121
Print_ISBN :
978-89-93215-05-2
Type :
conf
DOI :
10.1109/ICCAS.2013.6704189
Filename :
6704189
Link To Document :
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