Articles | Volume 14
https://doi.org/10.5194/ars-14-91-2016
https://doi.org/10.5194/ars-14-91-2016
28 Sep 2016
 | 28 Sep 2016

Risk analysis with a fuzzy-logic approach of a complex installation

Tim Peikert, Heyno Garbe, and Stefan Potthast

Abstract. This paper introduces a procedural method based on fuzzy logic to analyze systematic the risk of an electronic system in an intentional electromagnetic environment (IEME). The method analyzes the susceptibility of a complex electronic installation with respect to intentional electromagnetic interference (IEMI). It combines the advantages of well-known techniques as fault tree analysis (FTA), electromagnetic topology (EMT) and Bayesian networks (BN) and extends the techniques with an approach to handle uncertainty. This approach uses fuzzy sets, membership functions and fuzzy logic to handle the uncertainty with probability functions and linguistic terms. The linguistic terms add to the risk analysis the knowledge from experts of the investigated system or environment.

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Short summary
The paper presents a statistical approach to estimate the risk of an electronic system to intentional electromagnetic interference. The keywords Smart Grid, Industry 4.0 and Internet of Thinks leads to complex system with many dependencies between each electronic system. A faultless function of that complex systems is needed, which is achieved only with a cost efficent protection. That only can achieved with a stastical estimation of the risk to find the weakest link in the chain.