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New Challenges and Opportunities in Reliability Engineering of Complex Technical Systems

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Reliability Engineering and Computational Intelligence

Part of the book series: Studies in Computational Intelligence ((SCI,volume 976))

Abstract

In this article, we discuss the impacts of technological transformations currently at work on reliability engineering of complex technical systems. We consider transformations both in systems and in means to study them. We review challenges to meet in order to manage the current technological paradigm shift. We advocate the potential benefits of the so-called model-based approach in probabilistic risk assessment. We exemplified this approach by presenting the S2ML+X modeling technology.

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Authors and Affiliations

  1. Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, S. P. Andersens veg 3, 7491, Trondheim, Norway

    Antoine Rauzy

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  1. Antoine Rauzy
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Correspondence to Antoine Rauzy .

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  1. Healthy Living, TNO, Leiden, The Netherlands

    Coen van Gulijk

  2. Faculty of Management Science and Informatics, University of Zilina, Zilina, Slovakia

    Elena Zaitseva

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Rauzy, A. (2021). New Challenges and Opportunities in Reliability Engineering of Complex Technical Systems. In: van Gulijk, C., Zaitseva, E. (eds) Reliability Engineering and Computational Intelligence. Studies in Computational Intelligence, vol 976. Springer, Cham. https://doi.org/10.1007/978-3-030-74556-1_6

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