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Article information
2020 , Volume 25, ¹ 4, p.99-113
Lepikhin A.M., Makhutov N.A., Shokin Y.I., Yurchenko A.V.
Analysis of risk concept for technical systems using digital twins
Development of technology and technical systems significantly increases in the volume of information. Traditional methods for designing, manufacturing and operating of technical systems do not allow processing such volumes of information. In this regard, the modern strategy for creating technical systems is based on the use of digital twins. Solving the problems of risk analysis and risk management for technical systems at all stages of the life cycle appears to be one of the promising areas for application of the digital twins technology. Despite of active research, using digital twins in risk analysis currently do not have appropriate methodological justifications and technical solutions in a number of key aspects. In particular, effective reductions of the order of risk models and quantifying uncertainty factors of various types have not been solved. The concept of the risk-informed decision making in product lifecycle management has not been implemented. In fact, there are very few publications on the risk analysis and risk management methodology using digital twins. The article discusses the main methodological aspects of risk analysis of technical systems using digital twins. The concept of risk analysis is formulated and a basic model for its implementation is proposed. The informational aspects of the analysis of uncertainties of the risk model are considered. It is shown that digital twin technologies allow effective combination of the results of computer modelling with the data monitoring of real objects, providing a deeper analysis of objects, taking into account a variety of design options, technologies and operating conditions
[full text]
Keywords: technical systems, digital twins, risk model, information, uncertainties, risk analysis
doi: 10.25743/ICT.2020.25.4.009
Author(s):
Lepikhin Anatolii Mikhaylovich
Dr. , Professor
Position: General Scientist
Office: Federal research center of information and computational technologies,NTC NefteGazDiagnostica
Address: 630090, Russia, Novosibirsk, Academician M.A. Lavrentiev Avenue 6
Phone Office: (985) 195-33-22
E-mail: krasn@ict.nsc.ru
SPIN-code: 3072-6366Makhutov Nikolay Andreevich
Dr. , Professor
Position: General Scientist
Office: Blagonravov Mechanical Engineering Research Institute RAS
Address: 101990, Russia, Moscow, 4 Maly Kharitonyevsky Pereulok
Phone Office: (985) 780-39-07
E-mail: kei51@mail.ru
SPIN-code: 4499-0720Shokin Yuriy Ivanovich
Dr. , Academician RAS, Professor
Position: Scientific Director of the Institute
Office: Federal Research Center for Information and Computational Technologies
Address: 630090, Russia, Novosibirsk, Ac. Lavrentiev ave., 6
Phone Office: (383) 334 91 10
E-mail: shokin@ict.nsc.ru
SPIN-code: 6442-4180Yurchenko Andrey Vasilyevich
PhD.
Position: director
Office: Federal Research Center for Information and Computational Technologies
Address: 630090, Russia, Novosibirsk, ac. Lavrentyev Ave. 6
Phone Office: (383) 334-91-16
E-mail: yurchenko@ict.sbras.ru
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Bibliography link:
Lepikhin A.M., Makhutov N.A., Shokin Y.I., Yurchenko A.V. Analysis of risk concept for technical systems using digital twins // Computational technologies. 2020. V. 25. ¹ 4. P. 99-113
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