stochastic methods in risk analysis

Clicks: 206
ID: 139225
2017
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Abstract
In this paper, we review basic stochastic methods which can be used to extend state-of-the-art deterministic analytical methods for risk analysis. We can conclude that the standard deterministic analytical methods highly depend on the practical experience and knowledge of the evaluator and therefore, the stochastic methods should be introduced. The new risk analysis methods should consider the uncertainties in input values. We present how large is the impact on the results of the analysis solving practical example of FMECA with uncertainties modelled using Monte Carlo sampling.
Reference Key
osadsk2017transactionsstochastic Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Vladimíra OSADSKÁ
Journal transactions of the vŠb: technical university of ostrava, safety engineering series
Year 2017
DOI
10.1515/tvsbses-2017-0008
URL
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