Investigation on Acoustic Signals for On-line Monitoring of Welding-Reference-Cited by-同舟云学术

Investigation on Acoustic Signals for On-line Monitoring of Welding

Published:2011 Issue: Volume: Page:235-243
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Lv Na,Chen Shanben

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-19959-2_29.pdf

Reference25 articles.

1. Pal, K., Bhattacharya, S., Pal, S.K.: Investigation on arc sound and metal transfer modes for on-line monitoring in pulsed gas metal arc welding. Journal of Materials Processing Technology 210, 1397–1410 (2010)

2. Matteson, A., Morris, R., Tate, R.: Real-Time GMAW Quality Classification using an Artificial Neural Network with Airborne Acoustic Signals as Inputs. In: Processing of the 12th International Conference on Offshore Mechanics and Arctic Engineering, III-A, pp. 273–278 (1993)

3. Kralj, V.: Biocybernetic investigations of hand movements of human operator in hand welding. IIW/IIS Doc.212-140-68 (1968)

4. Tam, J., Huissoon, J.: Developing Psycho-Acoustic Experiments in Gas Metal Arc Welding. In: International Conference on Mechatronics & Automation Niagara Falls, Canada, pp. 1112–1117 (July 2005)

5. Wang, J.F., Chen, B., Chen, H.B., Chen, S.B.: Analysis of arc sound characteristics for gas tungsten argon welding. Sensor Review 29(3), 240–249 (2009)

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