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Probabilistic Advisory System for Operators Can Help with Diagnostics of Rolling Mills

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932567" target="_blank" >RIV/49777513:23520/17:43932567 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Probabilistic Advisory System for Operators Can Help with Diagnostics of Rolling Mills

  • Original language description

    Advisory system for operators of complex industrial processes has been developed and improved by an international team of scientists and people from industry since 2000. Main purpose of the advisory system is to help operator set up manually adjustable parameters of an industrial process, with the aim to reach required production quality. Industrial proces is taken for a stochastic process and input signals of its control system are taken for random variables. Based on Bayesian probability theory, a software toolbox was created for handling mixtures of probability density functions describing behavior of the process. Advisory system was tested and pilot application was installed on rolling mills producing metal strips

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 2017 21st International Conference on Process Control (PC)

  • ISBN

    978-1-5386-4011-1

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    5

  • Pages from-to

    132-136

  • Publisher name

    IEEE

  • Place of publication

    Danvers

  • Event location

    Štrbské Pleso

  • Event date

    Jun 6, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000412119800024