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The application of neural networks for the control of industrial arc welding

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conference contribution
posted on 01.09.2017, 08:23 by K.L. Burge, T.J. Harris, Raymond Stroud, John McCardle
The use of automatic closed loop control is well established in all areas of manufacturing industry. New methods for measuring system variables, data processing and process control are being sought to improve system efficiency. Skilled welders are able to subconsciously monitor a manual arc welding process by listening to the sound and repositioning the electrode in response to a change in arc noise. This paper describes the real time monitoring of acoustic emissions from an automated submerged arc welding process and the application of Neural Networks to predict the point of instability of the process variables.

History

School

  • Design

Published in

Computer Applications in Industry-IASTED'92 Proceedings of the International Association of Science and Technology for Development

Pages

24 - 27

Citation

BURGE, K.L. ... et al., 1992. The application of neural networks for the control of industrial arc welding. IN: Proceedings of the International Association of Science and Technology for Development, Computer Applications in Industry-IASTED'92, Alexandria, Egypt, 5-7 May, pp. 24 - 27.

Publisher

IASTED

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

01/04/1992

Publication date

1992

Notes

This is a conference paper.

Language

en

Location

Alexandria, Egypt

Exports