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Model of Predictive Maintenance of Machines and Equipment

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F20%3A00555327" target="_blank" >RIV/60162694:G42__/20:00555327 - isvavai.cz</a>

  • Alternative codes found

    RIV/60162694:G43__/20:00555327

  • Result on the web

    <a href="https://www.mdpi.com/2076-3417/10/1/213" target="_blank" >https://www.mdpi.com/2076-3417/10/1/213</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/app10010213" target="_blank" >10.3390/app10010213</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Model of Predictive Maintenance of Machines and Equipment

  • Original language description

    The paper presents selected possibilities of mathematical models in predictive maintenance of equipment. This model includes automatic classification of machines by labour intensity, determination of labour intensity standards and drawing up monthly and yearly maintenance plans for manufacturing lines and technical equipment in an engineering company. The model reduces human error, clarifies accounting and operational records of machines, evaluates the actual maintenance labour intensity, eliminates routine administrative work, enables the use of cloud storages, and includes automatic reporting of problems in the case of on-board diagnostic systems. It is based on differentiated machine care and can be an effective tool for the overall optimization of maintenance processes and is a part of the digitization of these processes in engineering companies.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10300 - Physical sciences

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Applied Sciences

  • ISSN

    2076-3417

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    16

  • Pages from-to

    213

  • UT code for WoS article

    000509398900213

  • EID of the result in the Scopus database

    2-s2.0-85078897798