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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/26307

Title: The application of neural networks for the control of industrial arc welding
Authors: Burge, K.L.
Harris, T.J.
Stroud, Raymond
McCardle, John
Keywords: Neural networks
Signal processing
Real time control
Industrial process monitoring
Issue Date: 1992
Publisher: IASTED
Citation: 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.
Abstract: The 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.
Description: This is a conference paper.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/26307
Appears in Collections:Conference Papers and Presentations (Design School)

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