TY - GEN
T1 - Fault tree reliability analysis via squarefree polynomials
AU - Lopuhaä-Zwakenberg, Milan
N1 - Conference code: 12
PY - 2024
Y1 - 2024
N2 - Fault tree (FT) analysis is a prominent risk assessment method in industrial systems. Unreliability is one of the key safety metrics in quantitative FT analysis. Existing algorithms for unreliability analysis are based on binary decision diagrams, for which it is hard to give time complexity guarantees beyond a worst-case exponential bound. In this paper, we present a novel method to calculate FT unreliability based on algebras of squarefree polynomials and prove its validity. We furthermore prove that time complexity is low when the number of multiparent nodes is limited. Experiments show that our method is competitive with the state-of-the-art and outperforms it for FTs with few multiparent nodes.
AB - Fault tree (FT) analysis is a prominent risk assessment method in industrial systems. Unreliability is one of the key safety metrics in quantitative FT analysis. Existing algorithms for unreliability analysis are based on binary decision diagrams, for which it is hard to give time complexity guarantees beyond a worst-case exponential bound. In this paper, we present a novel method to calculate FT unreliability based on algebras of squarefree polynomials and prove its validity. We furthermore prove that time complexity is low when the number of multiparent nodes is limited. Experiments show that our method is competitive with the state-of-the-art and outperforms it for FTs with few multiparent nodes.
U2 - 10.5220/0012334000003645
DO - 10.5220/0012334000003645
M3 - Conference contribution
SP - 39
EP - 49
BT - Proceedings of the 12th International Conference on Model-Based Software and Systems Engineering MODELSWARD
PB - SCITEPRESS
T2 - 12th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2024
Y2 - 21 February 2024 through 23 February 2024
ER -