Titlebook: Generation and Update of a Digital Twin in a Process Plant; Josip Stjepandi?,Johannes Lützenberger,Philipp Kre Book 2024 The Editor(s) (if

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https://doi.org/10.1007/978-1-4757-3033-3ing a systems modeling tool and subsequently enriched with further technical information. We extend the definition of requirements to the basic process which refers to the different phases of the product lifecycle: design, production, and operation. Therefore, this chapter formulates a consistent an

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Gastroenterology: Intestinal Bleeding that reason, a digital twin has only been generated for projects with an according return on investment. In that sense, the potential of digital twins is limited to a few business cases in the process industry. An automated generation of digital twins or at least a semi-automation reduces the costs

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Rosemary K. Musvipwa,Carolyne M. Lunga is realized by using existing convolutional neural networks, also known as deep learning. Literature review shows that effective and versatile automation capabilities of deep learning combined with large-scale processing may be an adequate means for the challenges of the extent and complexity of a