Zobrazeno 1 - 10
of 148
pro vyhledávání: '"P. Tanuska"'
Autor:
Stefan Rydzi, Barbora Zahradnikova, Zuzana Sutova, Matus Ravas, Dominik Hornacek, Pavol Tanuska
Publikováno v:
Sensors, Vol 24, Iss 17, p 5644 (2024)
The purpose of this research is to develop an innovative software framework with AI capabilities to predict the quality of automobiles at the end of the production line. By utilizing machine learning techniques, this framework aims to prevent defecti
Externí odkaz:
https://doaj.org/article/8dc826ef726e441394ad3b1bb9bcc602
Akademický článek
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Akademický článek
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Publikováno v:
IEEE Access, Vol 10, Pp 134004-134017 (2022)
This article proposes a digital twin design using a finite state machine (FSM) that can be integrated and used for the simulation requirements of a production process. The FSM used to introduce the proposed concept can create a fully fledged digital
Externí odkaz:
https://doaj.org/article/6c759abefacf47319628835cafcfd778
Publikováno v:
Sensors, Vol 23, Iss 7, p 3546 (2023)
Research in the field of gathering and analyzing biological signals is growing. The sensors are becoming more available and more non-invasive for examining such signals, which in the past required the inconvenient acquisition of data. This was achiev
Externí odkaz:
https://doaj.org/article/31c0469cd6934a2eac4892bcaf3df51a
Publikováno v:
Machines, Vol 11, Iss 3, p 379 (2023)
The aim of this contribution is to propose the architecture for a layered design of the production system. This proposal uses the IEC 62443 norm, including the Defense-in-Depth strategy and proven technical principles applicable in a Smart Factory wi
Externí odkaz:
https://doaj.org/article/527767324b734b10b2b08cbd167d2092
Publikováno v:
Sensors, Vol 22, Iss 24, p 9860 (2022)
Small- and medium-sized manufacturing companies must adapt their production processes more quickly. The speed with which enterprises can apply a change in the context of data integration and historicization affects their business. This article presen
Externí odkaz:
https://doaj.org/article/65c83a21ad78443786f4f61379cb95be
Publikováno v:
Applied Sciences, Vol 12, Iss 11, p 5672 (2022)
Nowadays there is a growing demand for small- and medium-sized enterprises (SMEs) to improve their level of digitalisation. This situation becomes even more critical in cases when SMEs act in the role of a subcontractor of large enterprises who deman
Externí odkaz:
https://doaj.org/article/43594644a2cd4ab89464f9403b94e1c5
Publikováno v:
Sensors, Vol 22, Iss 1, p 325 (2022)
Today, Industrial Internet of Things (IIoT) devices are very often used to collect manufacturing process data. The integration of industrial data is increasingly being promoted by the Open Platform Communications United Architecture (OPC UA). However
Externí odkaz:
https://doaj.org/article/613603b4f489486c980e1c2542797b72
Publikováno v:
Applied Sciences, Vol 11, Iss 16, p 7648 (2021)
CRISP-DM (cross-industry standard process for data mining) methodology was developed as an intuitive tool for data scientists, to help them with applying Big Data methods in the complex technological environment of Industry 4.0. The review of numerou
Externí odkaz:
https://doaj.org/article/2fa2bc6aa99b4985922e309e9e93afed