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On-line continuous weld monitoring using neural networks

  • Neural Networks for Communications, Control and Robotics
  • Conference paper
  • First Online:
Biological and Artificial Computation: From Neuroscience to Technology (IWANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1240))

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Abstract

Supervision of welding processes is one of the most important and complicated tasks in production lines. Artificial Neural Networks have been applied for modeling and control of physical processes. In our paper we propose the use of a neural network classifier for on-line non-destructive testing. This system has been applied to arc welding stations. Experimental results confirm the validity of this novel approach.

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References

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Author information

Authors and Affiliations

  1. Dpto de Ingeniería de Sistemas y Automática, Escuela Superior de Ingenieros Avda, Reina Mercedes s/n, 41012, Sevilla

    Rafael L. Millau, José M. Quero & Leopoldo G. Franquelo

Authors
  1. Rafael L. Millau
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  2. José M. Quero
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  3. Leopoldo G. Franquelo
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Editor information

José Mira Roberto Moreno-Díaz Joan Cabestany

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© 1997 Springer-Verlag Berlin Heidelberg

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Millau, R.L., Quero, J.M., Franquelo, L.G. (1997). On-line continuous weld monitoring using neural networks. In: Mira, J., Moreno-Díaz, R., Cabestany, J. (eds) Biological and Artificial Computation: From Neuroscience to Technology. IWANN 1997. Lecture Notes in Computer Science, vol 1240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032592

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  • DOI: https://doi.org/10.1007/BFb0032592

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63047-0

  • Online ISBN: 978-3-540-69074-0

  • eBook Packages: Springer Book Archive

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