Analyzing the Application of Digital Twin Technology in Manufacturing Processes
Boltaboyeva A. Karymssakova N. Mansurova M. Imanbek B. Amangeldy B. Tasmurzayev N.
2024Institute of Electrical and Electronics Engineers Inc.
International IEEE Conference proceedings, IS
2024Issue 2024
Digital twins and machine learning, two contemporary information technology, have opened up new possibilities for the digital display, visualization, and monitoring of industrial processes. This research suggests utilizing machine learning, visualization, and monitoring approaches to analyze the use of digital twins in industrial process control. This novel method integrates real-time performance data and machine learning for monitoring, visualization, and prediction. In particular, trends and preferences are found and future situations are predicted by machine learning approaches. A variety of situations are created and assessed with the use of digital twins, and information is gathered to train machine learning algorithms on actual data.
artificial intelligent , component , digital twin , internet of things , machine learning , manufacturing processes
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Al-Farabi Kazakh National University, Artificial Intellegence and Big Data, Almaty, Kazakhstan
Al-Farabi Kazakh National University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026