Fault tree reliability analysis via squarefree polynomials

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Downloads (Pure)

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Model-Based Software and Systems Engineering MODELSWARD
PublisherSCITEPRESS
Pages39-49
DOIs
Publication statusPublished - 2024
Event12th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2024 - Rome, Italy
Duration: 21 Feb 202423 Feb 2024
Conference number: 12

Conference

Conference12th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2024
Abbreviated titleMODELSWARD 2024
Country/TerritoryItaly
CityRome
Period21/02/2423/02/24

Fingerprint

Dive into the research topics of 'Fault tree reliability analysis via squarefree polynomials'. Together they form a unique fingerprint.

Cite this