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http://dx.doi.org/10.6108/KSPE.2018.22.2.131

Error Analysis of Equivalence Ratio using Bayesian Statistics  

Ahn, Joongki (Agency for Defense Development)
Park, Ik Soo (Agency for Defense Development)
Lee, Ho-il (Agency for Defense Development)
Publication Information
Journal of the Korean Society of Propulsion Engineers / v.22, no.2, 2018 , pp. 131-137 More about this Journal
Abstract
This paper analyzes the probability of failure for the equivalence ratio error. The control error of the equivalence ratio is affected by the aleatory and epistemic uncertainties. In general, reliability analysis techniques are easily incorporated to handle the aleatory uncertainty. However, the epistemic uncertainty requires a new approach, as it does not provide an uncertainty distribution. The Bayesian inference incorporates the reliability analysis results to handle both uncertainties. The result gives a distribution of failure probability, whose equivalence ratio does not meet the requirement. This technique can be useful in the analysis of most engineering systems, where the aleatory and epistemic uncertainties exist simultaneously.
Keywords
Bayesian Statistics; Reliability Analysis; Equivalence Ratio;
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