TY - UNPB
T1 - Fault tree reliability analysis via squarefree polynomials
AU - Lopuhaä-Zwakenberg, Milan
N1 - To be presented at MODELSWARD 2024
PY - 2023/12/10
Y1 - 2023/12/10
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.
KW - cs.DS
U2 - 10.48550/arXiv.2312.05836
DO - 10.48550/arXiv.2312.05836
M3 - Preprint
BT - Fault tree reliability analysis via squarefree polynomials
PB - ArXiv.org
ER -