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One Dimensional Fourier Transform on Deep Learning for Industrial Welding Quality Control

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Advances in Computational Intelligence (IWANN 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11507))

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Abstract

This paper presents a method for industrial welding quality control. It focuses on the detection of Lack of Fusions (LoF) in joined parts produced in a rotational welding process. The solutions are based on the LeNet and AlexNet networks that are extended with previous convolutional layers based on 1D-pDFT (1D Polar Discrete Fourier Transform) and Gabor filters. The new layers add to the network the ability to deal with the images by means of knowledge arising from the physical process. In this paper a detailed description of the optical setup and the procedure to obtain defectives samples is also given.

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Acknowledgments

This work has been funded by the project KK-2018/00104 (Departamento de Desarrollo Económico e Infraestructuras del Gobierno Vasco, Programa ELKARTEK-Convovatoria 2018).

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Authors and Affiliations

  1. LORTEK, Arranomendia Kalea 4A, 20240, Ordizia, Spain

    Ander Muniategui, Jon Ander del Barrio, Xabier Angulo Vinuesa, Manuel Masenlle, Aitor García de la Yedra & Ramón Moreno

Authors
  1. Ander Muniategui
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  2. Jon Ander del Barrio
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  3. Xabier Angulo Vinuesa
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  4. Manuel Masenlle
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  5. Aitor García de la Yedra
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  6. Ramón Moreno
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Contributions

AM, JADB and RM developed the image analysis software and contributed mainly in the writing of the paper. XAV, MM and AGDY developed the inspection system (optics, lighting and automation). AM and JADB made the manual curation for classification by visual inspection of captured images.

Corresponding author

Correspondence to Ander Muniategui .

Editor information

Editors and Affiliations

  1. University of Granada, Granada, Spain

    Ignacio Rojas

  2. University of Malaga, Malaga, Spain

    Gonzalo Joya

  3. Polytechnic University of Catalonia, Barcelona, Spain

    Andreu Catala

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Muniategui, A., del Barrio, J.A., Angulo Vinuesa, X., Masenlle, M., García de la Yedra, A., Moreno, R. (2019). One Dimensional Fourier Transform on Deep Learning for Industrial Welding Quality Control. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2019. Lecture Notes in Computer Science(), vol 11507. Springer, Cham. https://doi.org/10.1007/978-3-030-20518-8_15

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  • DOI: https://doi.org/10.1007/978-3-030-20518-8_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20517-1

  • Online ISBN: 978-3-030-20518-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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