АУТОР(И): Predrag Jovančić, Dragan Ignjatović, Stevan Đenadić, Miloš Tanasijević, Filip Miletić
Е-АДРЕСА: predrag.jovancic@rgf.bg.ac.rs
DOI: 10.46793/EEE22-2.54J
САЖЕТАК:
Četvrtu industrijsku revoluciju – Industrija 4.0 karakteriše upotreba cyber-fizičkih sistema. Da bi se postigla optimalna strategija održavanja (ali i proizvodnje), neophodno je razviti sisteme koji podržavaju napredne inteligentne sisteme održavanja ili tehnologije pametnog održavanja. Iz toga su proizašli postulati Prediktivnog održavanja 4.0 koji definišu veoma blisku budućnost u oblasti održavanja tehničkih sistema. Prediktivno održavanje 4.0 uključuje iskorišćenje snage veštačke inteligencije za stvaranje stalnog uvida u otkrivanje uzroka i anomalija u radu opreme, koje se ne otkrivaju kognitivnim moćima. Drugim rečima, Prediktivno održavanje 4.0 daje mogućnost da se predvidi ono šta je ranije bilo nepredvidivo. Industrija 5.0 se fokusira na povratak ljudskih ruku i umova u industrijski okvir, odnosno čovek i mašina međusobno usklađuju i pronalaze načine da rade zajedno kako bi poboljšali efikasnost proizvodnje/ održavanja.
КЉУЧНЕ РЕЧИ:
energetika, prediktivno održavanje 4.0, industrija 4.0, industrija 5.0
ЛИТЕРАТУРА:
- Jovančić, P. Asset management and condition monitoring on maintenance of mining equipment lignite mines, in Proc. 13th International symposium Continuous Surface Mining ISCSM, Belgrade, Serbia, pp. 197-207, 12-14 September 2016.
- Industry 5.0 – Understanding the basics, VAISALA, https://www.vaisala.com/en/lp/smart-industry-50-how-benefit-it [pristupljeno 25.05.2022]
- Industry 5.0 – Towards a sustainable, human-centric and resilient European industry, European Commission; Publications Office of the European Union, 2021 https://research-and-innovation.ec.europa.eu/news/all-research-and-innovation-news/industry-50-towards-more-sustainable-resilient-and-human-centric-industry-2021-01-07_en [pristupljeno 25.10.2022]
- Industry 5.0: A Transformative Vision for Europe. Publications Office of the European Union, 2021 https://op.europa.eu/en/publication-detail/-/publication/38a2fa08-728e-11ec-9136-01aa75ed71a1/language-en/format-PDF [pristupljeno 25.05.2022]
- Jovančić, P., Ignjatović, D., Tanasijević, M. Modern concepts of mining equipment maintenance, in Proc. 10th International Symposia Mechanization and Automation in Mining and Energetics MAREN2012, Lazarevac Serbia, June 6-7, 2012.
- Jovančić, P., Tanasijević, M., Ignjatović, D. Upravljanje imovinom i proaktivni sistem nadzora pri održavanju opreme u rudnicima, in Proc. Naučno-stručni skup Održavanje mašina i opreme ОМО2015, Beograd, Srbija, pp 1-10, 23-26 jun 2015.
- Jovančić, P., Ignjatović, D., Tanasijević, М. Proactive monitoring system for basic mining equipment at open pit mines of Electric Power Industry of Serbia, in Proc. XXI International Congress on Maintenance and Asset Management – EUROMAINTENANCE 1 2012, Belgrade, Serbia, pp. 622-630, May 14-16, 2012.
- Coleman, C., Damodaran, S., Chandramouli, M., Deuel, E. Making maintenance smarter: Predictive maintenance and the digital supply network, Deloitte University Press, 2017. https://www2.deloitte.com/content/dam/insights/us/articles/3828_Making-maintenance-smarter/DUP_Making-maintenance-smarter.pdf [pristupljeno 25.05.2022]
- Sajid, S., Haleem, A., Bahl, S., Javaid, M., Goyal, T., Mittal, M. Data science applications for predictive maintenance and materials science in context to Industry 4.0, in Proc. Materialstoday Proceedings: 45, Part 6, pp. 4898-4905, 2021. https://doi.org/10.1016/j.matpr.2021.01.357
- Compare, M., Baraldi, P., Zio, E. Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0, IEEE Internet of Things Journal, Vol. 7, No. 5, pp. 4585-4597, 2020 https://doi.org/1109/JIOT.2019.2957029
- Zonta, T., André da Costa, C., da Rosa Righi, R., José de Lima, M., Silveira da Trindade, E., Pyng Li, G., Predictive maintenance in the Industry 4.0: A systematic literature review, Computers & Industrial Engineering, Vol. 150, 106889, 2020 https://doi.org/10.1016/j.cie.2020.106889