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Design of Condition-Based Decision Support System for Preventive Maintenance

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41310%2F17%3A73460" target="_blank" >RIV/60460709:41310/17:73460 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1515/ata-2017-0004" target="_blank" >http://dx.doi.org/10.1515/ata-2017-0004</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1515/ata-2017-0004" target="_blank" >10.1515/ata-2017-0004</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Design of Condition-Based Decision Support System for Preventive Maintenance

  • Original language description

    Presented paper deals with the topic of preventive maintenance. A decision support system was designed, incorporating historical as well as forecast information to calculate the time remaining to preventive maintenance. The designed system optimizes maintenance costs without any further investment and running costs. An algorithm of the designed system is introduced and a case study of its implementation is described in the paper.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    20306 - Audio engineering, reliability analysis

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

  • Name of the periodical

    Acta Technologica Agriculturae

  • ISSN

    1335-2555

  • e-ISSN

    1338-5267

  • Volume of the periodical

    20

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    4

  • Pages from-to

    19-22

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85018832133