Annual Reliability and Maintainability Symposium, 2003.
DOI: 10.1109/rams.2003.1182018
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A new approach to solve dynamic fault trees

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Cited by 79 publications
(59 citation statements)
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“…Close form expressions for the dynamic gates with any distribution function are given in (Amari et al (2003)). …”
Section: Probabilistic Analysis Of Pdftsmentioning
confidence: 99%
See 2 more Smart Citations
“…Close form expressions for the dynamic gates with any distribution function are given in (Amari et al (2003)). …”
Section: Probabilistic Analysis Of Pdftsmentioning
confidence: 99%
“…Given an event x with distribution function F x (t) and density function f x (t), the following expressions hold under the hypothesis of s-independence by extension of (Amari et al (2003);Fussel et al (1976)):…”
Section: Calculation Of the Failure Probability With Markov Chainsmentioning
confidence: 99%
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“…There are many algorithms applied to calculation of the probabilities of node accident and accident consequence of dynamic bow tie analysis: Hidden Markov Model, Bayesian Network (Khakzad et al 2013), Integral Algorithm (Amari et al 2003) and Monte Carlo Simulation (Kim et al 2016). In terms of simulated time and practicability, the Monte Carlo Simulation has an advantage over other methods.…”
Section: Introductionmentioning
confidence: 99%
“…Amari et al [5] propose a method to analyze dynamic fault trees in order to find the best strategy for avoiding or minimizing the state space explosion problem. The problem of efficient integration into the product development cycle, however is not solved following these methods.…”
Section: Introductionmentioning
confidence: 99%