XU Bing-feng, HUANG Zhi-qiu, HU Jun, et al. A Method for Quantitative Analysis of State/Event Fault Tree[J]. Acta Electronica Sinica, 2013, 41(8): 1480-1486.
DOI:
XU Bing-feng, HUANG Zhi-qiu, HU Jun, et al. A Method for Quantitative Analysis of State/Event Fault Tree[J]. Acta Electronica Sinica, 2013, 41(8): 1480-1486. DOI: 10.3969/j.issn.0372-2112.2013.08.005.
A Method for Quantitative Analysis of State/Event Fault Tree
State/Event Fault Tree (SEFT) is a modeling technique for describing the causal chains which lead to failure in complex systems.One important way for capturing the safety parameters of systems is quantitatively analyzing the probabilistic characteristic of system failures.As lack of precise semantics
SEFT can only be quantitatively analyzed after its semantics being precisely described.In this paper
we present a quantitative analysis method of SEFT based on Interactive Markov Chain (IMC).Firstly
Interface Interactive Markov Chain (Interface-IMC) is proposed based on refining the interactive action of IMC into input and output actions.Secondly
the precise semantics of SEFT is described based on Interface-IMC.Thirdly
a quantitative analysis method is presented based on formal semantic model of SEFT.Finally
the method in this paper is illustrated by modeling and quantitatively analyzing SEFT of aircraft landing gear system.