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Neural Networks in Ultrasonic Testing of Thin Walled Welded Constructions Used in Aerospace Industry

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F99%3A03019723" target="_blank" >RIV/68407700:21230/99:03019723 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Neural Networks in Ultrasonic Testing of Thin Walled Welded Constructions Used in Aerospace Industry

  • Original language description

    There are introduced basic description and characteristics of ultrasonic testing of welded constructions. The attention is concentrated on classification of welds and their faults, on the methods of preprocessing of ultrasonic signals (especially on thereduction of noise) and on the weld fault detection rules derived from Neural Network application results.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JB - Sensors, detecting elements, measurement and regulation

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    1999

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    MENDEL '99

  • ISBN

    80-214-1131-7

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    VUT

  • Place of publication

    Brno

  • Event location

  • Event date

  • Type of event by nationality

  • UT code for WoS article