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Download fileThe application of neural networks for the control of industrial arc welding
conference contribution
posted on 01.09.2017, 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.
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