Predictive maintenance in the Industry 4.0: A systematic literature review

T Zonta, CA Da Costa, R da Rosa Righi… - Computers & Industrial …, 2020 - Elsevier
Industry 4.0 is collaborating directly for the technological revolution. Both machines and
managers are daily confronted with decision making involving a massive input of data and …

The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review

T Zheng, M Ardolino, A Bacchetti… - International Journal of …, 2021 - Taylor & Francis
Industry 4.0 (I4. 0) encompasses a plethora of digital technologies effecting on
manufacturing enterprises. Most research on this topic examines the effects in the smart …

Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges

J Dalzochio, R Kunst, E Pignaton, A Binotto… - Computers in …, 2020 - Elsevier
In recent years, the fourth industrial revolution has attracted attention worldwide. Several
concepts were born in conjunction with this new revolution, such as predictive maintenance …

Predictive maintenance and intelligent sensors in smart factory

M Pech, J Vrchota, J Bednář - Sensors, 2021 - mdpi.com
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 …

Maintenance transformation through Industry 4.0 technologies: A systematic literature review

L Silvestri, A Forcina, V Introna, A Santolamazza… - Computers in …, 2020 - Elsevier
Abstract Industry 4.0 is revolutionizing manufacturing, increasing flexibility, mass
customization, quality and productivity. In today's competitive manufacturing scenario …

Industry 4.0 implementation challenges and opportunities: A managerial perspective

B Bajic, A Rikalovic, N Suzic, V Piuri - IEEE Systems Journal, 2020 - ieeexplore.ieee.org
Industry 4.0 is a concept aimed at achieving the integration of physical parts of the
manufacturing process (ie, complex machinery, various devices, and sensors) and cyber …

[HTML][HTML] Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework

F Psarommatis, G May, V Azamfirei - Journal of Manufacturing Systems, 2023 - Elsevier
To provide direction and advice for future research on Industry 4.0 maintenance, we
conducted a comprehensive analysis of 344 eligible journal papers published between …

Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review

J Leukel, J González, M Riekert - Journal of Manufacturing Systems, 2021 - Elsevier
Failure prediction is the task of forecasting whether a material system of interest will fail at a
specific point of time in the future. This task attains significance for strategies of industrial …

A novel decision support system for managing predictive maintenance strategies based on machine learning approaches

S Arena, E Florian, I Zennaro, PF Orrù, F Sgarbossa - Safety science, 2022 - Elsevier
Nowadays, the industrial environment is characterised by growing competitiveness, short
response times, cost reduction and reliability of production to meet customer needs. Thus …

Architecture and security of SCADA systems: A review

G Yadav, K Paul - International Journal of Critical Infrastructure Protection, 2021 - Elsevier
Pipeline bursting, production lines shut down, frenzy traffic, trains confrontation, the nuclear
reactor shut down, disrupted electric supply, interrupted oxygen supply in ICU–these …