The management of industrial arc welding by neural networks
conference contributionposted on 30.08.2017 by John McCardle, K.T. Burge, Raymond Stroud, T.J. Harris
Any type of content contributed to an academic conference, such as papers, presentations, lectures or proceedings.
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.