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The management of industrial arc welding by neural networks

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conference contribution
posted on 30.08.2017 by John McCardle, K.T. Burge, Raymond Stroud, T.J. Harris
New methods of monitoring industrial process variables are constantly being sought with the aim to improve control efficiency. It has been observed that skilled welders subconsciously adapt their manual arc welding technique in response to a variation in the sound produced from the process. This paper proposes an approach to the control of an automated submerged arc welding process using:- 1. Real time monitoring of acoustic emissions 2. The application of neural networks to predict the point of instability of the process variables.

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Published in

Proceedings of the 4th International Conference on Condition Monitoring and Diagnostics Engineering Management Proceedings of the 4th International Conference on Condition Monitoring and Diagnostics Engineering Management

Pages

94 - 99

Citation

MCCARDLE, J. ... et al., 1992. The management of industrial arc welding by neural networks. IN: Proceedings of the 4th International Conference on Condition Monitoring and Diagnostics Engineering Management, CETIM, Senlis, France, 15-17 July 1992, pp. 94 - 99.

Publisher

COMADEM

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/

Publication date

1992

Notes

This is a conference paper.

Language

en

Location

CETIM, Senlis, France

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