Abstract
This chapter introduces the state-of-the-art in theoretical and practical applications of the digital twins components. Advances in manufacturing process modeling and prediction, smart technologies, energy harvesting, machine learning, the Internet of Things, edge and cloud computing have contributed significantly to the improvements of digital twins in their real-time monitoring and forecasting properties. This monograph focuses on the development of these tools beyond the state-of-the-art.
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Ostaševičius, V. (2022). The State-of-the-Art in the Theoretical and Practical Applications of the Digital Twins Components. In: Digital Twins in Manufacturing. Springer Series in Advanced Manufacturing. Springer, Cham. https://doi.org/10.1007/978-3-030-98275-1_1
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DOI: https://doi.org/10.1007/978-3-030-98275-1_1
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