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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/26265

Title: The management of industrial arc welding by neural networks
Authors: McCardle, John
Burge, K.T.
Stroud, Raymond
Harris, T.J.
Keywords: Process control
Signal processing
Neural networks
Real time monitoring
Issue Date: 1992
Publisher: COMADEM
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.
Abstract: 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.
Description: This is a conference paper.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/26265
Appears in Collections:Conference Papers and Presentations (Design School)

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