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Knowledge-Based Maintenance Management System of Compressed Air System

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F23%3A00367262" target="_blank" >RIV/68407700:21220/23:00367262 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-031-38274-1_17" target="_blank" >https://doi.org/10.1007/978-3-031-38274-1_17</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-38274-1_17" target="_blank" >10.1007/978-3-031-38274-1_17</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Knowledge-Based Maintenance Management System of Compressed Air System

  • Original language description

    Industry 4.0 is used to describe the current trend towards automation and data exchange in the manufacturing process, including machine learning with the help of artificial intelligence and the Internet of Things. It is revolutionising not only the production process, but also maintenance policies. Maintenance policies applied from the past to the present provide limited support in providing the optimum maintenance management system (MMS) to increase economic efficiency. For this reason, industrial companies are starting to switch to knowledge-based maintenance (KBM) management systems supported by prescriptive maintenance policies in their production processes. One of the vital energy suppliers of production processes is compressed air system (CAS). Most manufacturing processes require so much compressed air that, for example, around 10% of the annual electrical energy consumption of industries in Europe comes from CAS. Although its importance in production processes is so high, appropriate MMS applications are insufficient for choosing the right maintenance policies in CAS. Although there are studies on the management system of CAS, there is no knowledge-based compressed air maintenance management model with integrated prescriptive maintenance policy. This article aims to examine the concept of maintenance, policies, and management systems in Industry 4.0 and CAS. This paper presents a knowledge-based maintenance management of compressed air system framework compatible with Industry 4.0. In conclusion, this research is a preliminary article for CAS. KBM management system supported by Industry 4.0 technologies and other research.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20301 - Mechanical engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ISIEA 2023

  • ISBN

    978-3-031-38273-4

  • ISSN

    2367-3370

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    197-208

  • Publisher name

    Springer, Cham

  • Place of publication

  • Event location

    Bozen-Bolzano

  • Event date

    Jun 22, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article