Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jani Hietala"'
Publikováno v:
Computers, Vol 11, Iss 5, p 65 (2022)
Industry 4.0 and Cyber-physical systems require easy access to shop-floor data, which allows the monitoring and optimization of the manufacturing process. To achieve this, several papers have proposed various ways to make OPC UA (Open Platform Commun
Externí odkaz:
https://doaj.org/article/531cf24dccd242a29b25aede69692cb3
Publikováno v:
Hietala, J, Raunio, K, Jokinen, T & Kaarmila, P 2022, IoT Architecture and Solutions for Predictive Maintenance of Mobile Machinery . in IECON 2022-48th Annual Conference of the IEEE Industrial Electronics Society ., 9968653, IEEE Institute of Electrical and Electronic Engineers, 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022, Brussels, Belgium, 17/10/22 . https://doi.org/10.1109/IECON49645.2022.9968653
Continuous development of advanced web and IoT technologies facilitate new solutions for scalable data management systems. Data can be transferred over the internet efficiently in standardized formats. We propose a system architecture applicable to b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b3337344caf2c9a5216581f3329c1c6
https://doi.org/10.1109/IECON49645.2022.9968653
https://doi.org/10.1109/IECON49645.2022.9968653
Publikováno v:
Computers; Volume 11; Issue 5; Pages: 65
Industry 4.0 and Cyber-physical systems require easy access to shop-floor data, which allows the monitoring and optimization of the manufacturing process. To achieve this, several papers have proposed various ways to make OPC UA (Open Platform Commun
Publikováno v:
Information Fusion and Data Science ISBN: 9789811629396
Boldosova, V, Hietala, J, Pakkala, J, Salokangas, R, Kaarmila, P & Puranen, E 2021, Predictive analytics in the production of elevators . in T Cerquitelli, N Nikolakis, N O’Mahony, E Macii, M Ippolito & S Makris (eds), Predictive Maintenance in Smart Factories : Architectures, Methodologies, and Use-cases . Springer, Information Fusion and Data Science, pp. 165-185 . https://doi.org/10.1007/978-981-16-2940-2_8
Boldosova, V, Hietala, J, Pakkala, J, Salokangas, R, Kaarmila, P & Puranen, E 2021, Predictive analytics in the production of elevators . in T Cerquitelli, N Nikolakis, N O’Mahony, E Macii, M Ippolito & S Makris (eds), Predictive Maintenance in Smart Factories : Architectures, Methodologies, and Use-cases . Springer, Information Fusion and Data Science, pp. 165-185 . https://doi.org/10.1007/978-981-16-2940-2_8
With the emerging role of digitalization in the industrial sector, more and more companies attempt to increase asset availability, improve product quality and reduce maintenance costs. Manufacturing companies are faced with the need to transform trad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99d6e38af9aedab2490da1e92cdfff9a
https://doi.org/10.1007/978-981-16-2940-2_8
https://doi.org/10.1007/978-981-16-2940-2_8
Autor:
Riku Salokangas, Petri Kaarmila, Olli Saarela, Matteo Orlando, Lia Morra, Jani Hietala, Andrea Bellagarda, Enrico Macii, Nikolaos Nikolakis, Tania Cerquitelli
Publikováno v:
Information Fusion and Data Science ISBN: 9789811629396
Predictive maintenance aims at proactively assessing the current condition of assets and performing maintenance activities if and when needed to preserve them in the optimal operational condition. This in turn may lead to a reduction of unexpected br
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7224fb20e064c09469073227065c32d7
https://doi.org/10.1007/978-981-16-2940-2_3
https://doi.org/10.1007/978-981-16-2940-2_3
Publikováno v:
ICPS
Industrial Cyber-Physical Systems consist of multi-ple machines working together and demand efficient and flexiblecommunication methods to function as intended. The protocolsused in industrial operations and web applications are oftencontradictory in