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Construction of a Digital Twin for Reliability Analysis: A Case Study of a Storage Process

MENDONCA, RAFAEL; LINS, SIDNEY; VERONEZE, GABRIELA; OLIVEIRA, MARCELO; MEDEIROS, RENAN; LUCENA, VICENTE F

2022 • 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) • 2 citações

Resumo

Resumo

Concepts such as the Internet of Things, big data, cloud computing, and cyber-physical systems support new scenarios for further research and application on the Industry 4.0 initiative. One of the most promising ones is the digital twin applied to the shop floor. In this work-in-progress paper, we briefly review fundamental concepts and definitions and present a lasting solution to problems related to the reliability of industrial equipment. More precisely, our approach is based on an industrial twin model that, after proving its reliability, shall be used in more sophisticated applications. Finally, we present a case study of a storage process plant that uses the proposed architecture to perform a reliability study. The results of this work in progress may contribute to understanding the needs and gaps that may be filled before reaching a consolidated product, and we would like to discuss them with the community.

Autoria

Autores do grupo (3)

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palavras-chave

Palavras-chave

digital twinindustrial equipment reliabilityreliability analysisIndustry 4.0shop floorcyber-physical systems

Status

Published

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Trabalho em anais de evento