Automating Reliability Analysis:Data-driven Learning and Analysis of Multi-state Fault Trees

Autor: Lazarova-Molnar, Sanja, Niloofar, Parisa, Barta, Gabor Kevin

Publikováno v: Lazarova-Molnar, S, Niloofar, P & Barta, G K 2020, Automating Reliability Analysis : Data-driven Learning and Analysis of Multi-state Fault Trees . in P Baraldi, F Di Maio & E Zio (eds), 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM 2020 . Research Publishing Services, pp. 1805-1812, 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM 2020, Venice, Virtual, Italy, 01/11/2020 . https://doi.org/10.3850/978-981-14-8593-0, https://doi.org/10.3850/978-981-14-8593-0

Analysis of failure modes in a system is essential in increasing the reliability of the system. Fault trees model probabilistic causal chains of events that lead to a global system failure. With the emerging availability of data, deriving fault trees

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