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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/26107

Title: Controlling 1000 amps using neural networks
Authors: Stroud, Raymond
Swallow, S.
McCardle, John
Burge, K.T.
Issue Date: 1993
Publisher: © IEEE
Citation: STROUD, R. ...et al., 1993. Controlling 1000 amps using neural networks. IN: Proceedings of the 1993 International Joint Conference on Neural Networks (IJCNN '93), Nagoya, Japan, 25-29 Oct., pp. 1857- 1860.
Abstract: The continued effort to improve working conditions and efficiency in fusion welding has increased automation and taken the operator further from the workpiece. This inherently has increased the demand for improved monitoring and control systems to cope with the increase in throughput. The paper describes an application of two network architectures to control submerged arc welding-a high current, low voltage automatic joining process. A logical discriminator, implemented in hardware is used to identify time/amplitude return echoes derived from ultrasonic interrogation of the arc vicinity and a Kohonen feature map is used to classify arc sound.
Description: This paper is in closed access.
Version: Published
DOI: 10.1109/IJCNN.1993.717017
URI: https://dspace.lboro.ac.uk/2134/26107
Publisher Link: https://doi.org/10.1109/IJCNN.1993.717017
ISBN: 0780314212
Appears in Collections:Closed Access (Design School)

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