Fast FTA for Hybrid Uncertainties Using Stochastic Logic Implemented on FPGAs

What is it about?

This paper presents a stochastic logic-based method for quantitative risk assessment using fault tree analysis (FTA) that can take into account both types of uncertainties including objective and subjective uncertainties. In the proposed method, each fault tree gate is translated to its corresponding stochastic logic template and then is implemented on a field programmable gate array (FPGA). Because the analysis does not utilize any transformation methods, the results of analysis are more accurate than those methods which are based on transformation from possibility to probability distributions or vice versa

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Why is it important?

It is believed that the proposed hybrid uncertainty analysis method is an alternative and robust tool for quantitative risk analysis when sufficient historical data are not available for some of the BEs. The reason is that both objective and subjective uncertainty are taken into account appropriately using the proposed hybrid uncertainty analysis method. Experimental results for a benchmark fault tree also showed that this method accelerates analysis time compared to conventional hybrid uncertainty analysis method and transformation-based methods