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Knowledge based system for the classification of technical processes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F01%3A00064767" target="_blank" >RIV/49777513:23520/01:00064767 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Knowledge based system for the classification of technical processes

  • Original language description

    Classification of the processes is frequently required task in technical diagnostics. The task is to recognise the processes that have occurred during the operation of a device. The recognition is based on data stream measured during the operation. The approach described in this paper uses two steps to handle the problem. In the first stage, technique called the Hidden Markov Models is used to scan the data stream for possible occurrences of the processes. A set of hypotheses is generated by this algorithm. During the second stage a rule-based expert systém is used to verify these hypotheses, connect them together when it is possible, and verify the resulting sequences of processes. The system based on a blacboard architecture is used to control the second stage

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LN00B096" target="_blank" >LN00B096: Center for Applied Cybernetics</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2001

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Knowledge based system for the classification of technical processes

  • ISBN

    0852617313

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    University of Glagow

  • Place of publication

    Glasgow

  • Event location

    Glasgow

  • Event date

    Jan 1, 2001

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article