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The application of neural networks for the control of industrial arc welding
conference contribution
posted on 2017-09-01, 08:23 authored by K.L. Burge, T.J. Harris, Raymond Stroud, John McCardleJohn McCardleThe 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 DevelopmentPages
24 - 27Citation
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
IASTEDVersion
- 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
1992-04-01Publication date
1992Notes
This is a conference paper.Language
- en