DIGITAL TWIN TECHNOLOGY FOR ENGINEERING DESIGN AND MAINTENANCE
Abstract
Digital Twin technology has emerged as a powerful tool in modern engineering, enabling the creation of virtual replicas of physical systems for design optimization, performance analysis, and predictive maintenance. By integrating real-time data, simulation models, and advanced analytics, Digital Twins allow engineers to monitor system behavior, predict failures, and improve operational efficiency. This article explores the principles of Digital Twin technology, its applications in engineering design and maintenance, key benefits, challenges, and future development trends.
Keywords
digital twin, engineering design, predictive maintenance, simulation, smart systems
References
- Reymov, M. (2025). PSYCHOLOGICAL WELLBEING OF STUDENTS THROUGH SOCIAL ADAPTABILITY. International Journal of Artificial Intelligence, 1(2), 1419-1421.
- Nauruzbaeva, A., Reymov, M., & Kalmuratova, S. (2025). Identifying the Cause of Addiction to Alcohol and Drugs. MAKTABGACHA VA MAKTAB TA’LIMI JURNALI, 3(11).
- Askarbekovich, I. U. (2024, May). Norms in the Criminal Law on Extortion Systematic Analysis. In International Conference on Adaptive Learning Technologies (Vol. 4, pp. 4-8).
- Shoxabbos, S., & Mahramovich, K. S. M. K. S. (2023). Causes of the origin of cardiovascular diseases and their protection. IQRO JURNALI, 1-6.
- Askarbekovich, I. U. (2024, May). IMPROVING THE PREVENTION OF EXTORTION CRIME IS THE NEED OF THE TIMES AND THE NEED OF SOCIETY. In International Conference on Adaptive Learning Technologies (Vol. 4, pp. 1-3).
- Cаломов, Ш., & Алиев, Х. М. (2022). Морфометрические показатели нейрональных «островков» и «столбиков» зрительной коры головного мозга человека в постнатальном онтогенезе. Central Asian Research Journal for Interdisciplinary Studies (CARJIS), 2(1), 297-301.
Downloads
Download data is not yet available.