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
1. Real time monitoring of acoustic emissions
2. The application of neural networks to predict the point of instability of the
Published inProceedings 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
Pages94 - 99
CitationMCCARDLE, 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.
VersionAM (Accepted Manuscript)
Publisher statementThis 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/
NotesThis is a conference paper.
LocationCETIM, Senlis, France