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In consideration of uncertain factors inherent in safety and risk assessment of electric system fault location, a reliability prediction method based on interval analytic hierarchy process (IAHP) is introduced in this paper to reduce faults and system risk. After considering the major fault factors, the interval eigenvector method (IEM) is proposed and the conditional probability matrices for influencing...
Taking account of the influence of common cause failure (CCF) to system reliability, a method for reliability modeling and assessment of a multi-state system with common cause failure based on Bayesian Network (BN) is proposed by using the advantage of uncertainty reasoning and figurative expression of BN. The model is applied to a two-axis positioning mechanism transmission system to demonstrate...
This paper presents a reliability analysis method based on Bayesian network in order to determine the weak parts of the system and enhance its reliability. The Bayesian network model is converted from its corresponding fault tree representing the system conditions and failures, which is used to calculate the occurrence probabilities of all nodes under different conditions. Four kinds of familiar faults...
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