Predictive maintenance as an intelligent service in Industry 4.0

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F19%3A43955936" target="_blank" >RIV/49777513:23210/19:43955936 - isvavai.cz</a>

Výsledek na webu

<a href="http://si-journal.org/index.php/JSI/article/viewFile/364/181178224" target="_blank" >http://si-journal.org/index.php/JSI/article/viewFile/364/181178224</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.20470/jsi.v10i1.364" target="_blank" >10.20470/jsi.v10i1.364</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Predictive maintenance as an intelligent service in Industry 4.0

Popis výsledku v původním jazyce

Current trend of digitization offers a whole new approach to providing maintenance services. From sensors to cloud, production data is a unique opportunity to declare a real added value for maintenance work. Predictive maintenance is one of the key elements of the Industry 4.0 concept associated with the emerging digitalization of industry. The purpose of predictive maintenance is to predict the status of production equipment and detect potential failure. Practical implementations of predictive maintenance are already found in a number of industrial companies, either in the partial form of maintenance according to technical condition, or in diagnostic maintenance, and in the form of actual equipment wear prediction and planned maintenance. Predictive maintenance extends routine health monitoring to look into the future of machines, offering options to increase efficiency and reduce overall operating costs. First part of this article presents the term of maintenance, its definition and role in the company. Also, various types of machinery maintenance types are presented. Next part of the article focuses on predictive maintenance.

Název v anglickém jazyce

Predictive maintenance as an intelligent service in Industry 4.0

Popis výsledku anglicky

Current trend of digitization offers a whole new approach to providing maintenance services. From sensors to cloud, production data is a unique opportunity to declare a real added value for maintenance work. Predictive maintenance is one of the key elements of the Industry 4.0 concept associated with the emerging digitalization of industry. The purpose of predictive maintenance is to predict the status of production equipment and detect potential failure. Practical implementations of predictive maintenance are already found in a number of industrial companies, either in the partial form of maintenance according to technical condition, or in diagnostic maintenance, and in the form of actual equipment wear prediction and planned maintenance. Predictive maintenance extends routine health monitoring to look into the future of machines, offering options to increase efficiency and reduce overall operating costs. First part of this article presents the term of maintenance, its definition and role in the company. Also, various types of machinery maintenance types are presented. Next part of the article focuses on predictive maintenance.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

20301 - Mechanical engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Journal of Systems Integration

ISSN

1804-2724

e-ISSN

—

Svazek periodika

10

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

8

Strana od-do

3-10

Kód UT WoS článku

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EID výsledku v databázi Scopus

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