Knowledge-Based Maintenance Management System of Compressed Air System

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Knowledge-Based Maintenance Management System of Compressed Air System

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Knowledge-Based Maintenance Management System of Compressed Air System

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20301 - Mechanical engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

ISIEA 2023

ISBN

978-3-031-38273-4

ISSN

2367-3370

e-ISSN

—

Počet stran výsledku

12

Strana od-do

197-208

Název nakladatele

Springer, Cham

Místo vydání

—

Místo konání akce

Bozen-Bolzano

Datum konání akce

22. 6. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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