Details
| Original language | English |
|---|---|
| Pages (from-to) | 91-96 |
| Number of pages | 6 |
| Journal | Advances in Radio Science |
| Volume | 14 |
| Publication status | Published - 28 Sept 2016 |
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.
ASJC Scopus subject areas
- Engineering(all)
- Electrical and Electronic Engineering
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In: Advances in Radio Science, Vol. 14, 28.09.2016, p. 91-96.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Risk analysis with a fuzzy-logic approach of a complex installation
AU - Peikert, Tim
AU - Garbe, Heyno
AU - Potthast, Stefan
PY - 2016/9/28
Y1 - 2016/9/28
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84990033143&partnerID=8YFLogxK
U2 - 10.5194/ars-14-91-2016
DO - 10.5194/ars-14-91-2016
M3 - Article
AN - SCOPUS:84990033143
VL - 14
SP - 91
EP - 96
JO - Advances in Radio Science
JF - Advances in Radio Science
SN - 1684-9965
ER -