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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
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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
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Number of pages
12
Pages from-to
197-208
Publisher name
Springer, Cham
Place of publication
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Event location
Bozen-Bolzano
Event date
Jun 22, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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