The management of industrial arc welding by neural networks
conference contribution
posted on 2017-08-30, 13:44 authored by John McCardleJohn McCardle, K.T. Burge, Raymond Stroud, T.J. HarrisNew 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.
History
School
- Design
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 ManagementPages
94 - 99Citation
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
COMADEMVersion
- 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
1992Notes
This is a conference paper.Language
- en
