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A cast system for visual fault detection research

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Computer Aided Systems Theory — EUROCAST '91 (EUROCAST 1991)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 585))

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Abstract

Building a theoretical model, an analytical model and an equivalent neuronal net to solve the fault detection problem, permits to define a formal frame work, from CAST, CAD, and CAM techniques, which permit to try several resolution methods and to make an appropriate assessment of the results.

This model, first intended to detect faults in leather, can be generalized to a large number of problems related to quality control in automatic chain production.

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Authors and Affiliations

  1. Department of Informática y Sistemas, University of Las Palmas de Gran Canaria, 35016, Las Palmas, Canary Islands, Spain

    S. Candela, J. Muñoz, C. Garcia & F. Alayon

Authors
  1. S. Candela
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  2. J. Muñoz
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  3. C. Garcia
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  4. F. Alayon
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Franz Pichler Roberto Moreno Díaz

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© 1992 Springer-Verlag Berlin Heidelberg

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Candela, S., Muñoz, J., Garcia, C., Alayon, F. (1992). A cast system for visual fault detection research. In: Pichler, F., Díaz, R.M. (eds) Computer Aided Systems Theory — EUROCAST '91. EUROCAST 1991. Lecture Notes in Computer Science, vol 585. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0021031

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  • DOI: https://doi.org/10.1007/BFb0021031

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55354-0

  • Online ISBN: 978-3-540-47034-2

  • eBook Packages: Springer Book Archive

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