Predictive Maintenance and Intelligent Sensors in Smart Factory: Review
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F21%3A43902754" target="_blank" >RIV/60076658:12510/21:43902754 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.mdpi.com/1424-8220/21/4/1470" target="_blank" >https://www.mdpi.com/1424-8220/21/4/1470</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s21041470" target="_blank" >10.3390/s21041470</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Predictive Maintenance and Intelligent Sensors in Smart Factory: Review
Popis výsledku v původním jazyce
With the arrival of new technologies in modern smart factories, automated predictive maintenance is also related to production robotisation. Intelligent sensors make it possible to obtain an ever-increasing amount of data, which must be analysed efficiently and effectively to support increasingly complex systems' decision-making and management. The paper aims to review the current literature concerning predictive maintenance and intelligent sensors in smart factories. We focused on contemporary trends to provide an overview of future research challenges and classification. The paper used burst analysis, systematic review methodology, co-occurrence analysis of keywords, and cluster analysis. The results show the increasing number of papers related to key researched concepts. The importance of predictive maintenance is growing over time in relation to Industry 4.0 technologies. We proposed Smart and Intelligent Predictive Maintenance (SIPM) based on the full-text analysis of relevant papers. The paper's main contribution is the summary and overview of current trends in intelligent sensors used for predictive maintenance in smart factories.
Název v anglickém jazyce
Predictive Maintenance and Intelligent Sensors in Smart Factory: Review
Popis výsledku anglicky
With the arrival of new technologies in modern smart factories, automated predictive maintenance is also related to production robotisation. Intelligent sensors make it possible to obtain an ever-increasing amount of data, which must be analysed efficiently and effectively to support increasingly complex systems' decision-making and management. The paper aims to review the current literature concerning predictive maintenance and intelligent sensors in smart factories. We focused on contemporary trends to provide an overview of future research challenges and classification. The paper used burst analysis, systematic review methodology, co-occurrence analysis of keywords, and cluster analysis. The results show the increasing number of papers related to key researched concepts. The importance of predictive maintenance is growing over time in relation to Industry 4.0 technologies. We proposed Smart and Intelligent Predictive Maintenance (SIPM) based on the full-text analysis of relevant papers. The paper's main contribution is the summary and overview of current trends in intelligent sensors used for predictive maintenance in smart factories.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50204 - Business and management
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Sensors
ISSN
1424-8220
e-ISSN
—
Svazek periodika
21
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
40
Strana od-do
"neuvedeno"
Kód UT WoS článku
000624651800001
EID výsledku v databázi Scopus
2-s2.0-85100943582