Details
Original language | English |
---|---|
Article number | 6568885 |
Pages (from-to) | 200-207 |
Number of pages | 8 |
Journal | IEEE Transactions on Electromagnetic Compatibility |
Volume | 56 |
Issue number | 1 |
Publication status | Published - 25 Jul 2013 |
Abstract
This paper introduces a new procedural method for the systematic analysis of the risk when a specific facility is exposed to an intentional electromagnetic environment (IEME). The analysis is performed from the viewpoint of the system owner. The exposure of a system to IEME can be described by a set of different scenarios. The method presented in this paper combines characteristics of intentional electromagnetic interference scenarios with susceptibility data of components using statistical-based models for the coupling as well as the system behavior. Within each scenario the coupling to components of the system under assessment is ascertained by an analysis of the electromagnetic topology. The reaction of the system under assessment is modeled by combining the failure probabilities of the components employing the fault tree analysis. The application of a Monte Carlo simulation on the resulting model provides the probability of the top events of the fault trees which are the system level effects or consequences. In a final step, the importance analysis enables the identification of critical elements, e.g., those elements which contribute most to the risk, and therefore starting points for the improvement of the system protection.
Keywords
- effect analysis, Electromagnetic (EM) effects, intentional electromagnetic environment (IEME), intentional electromagnetic interference (IEMI), probabilistic risk analysis, threat assessment
ASJC Scopus subject areas
- Physics and Astronomy(all)
- Atomic and Molecular Physics, and Optics
- Physics and Astronomy(all)
- Condensed Matter Physics
- Engineering(all)
- Electrical and Electronic Engineering
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In: IEEE Transactions on Electromagnetic Compatibility, Vol. 56, No. 1, 6568885, 25.07.2013, p. 200-207.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Probabilistic Risk Analysis Technique of Intentional Electromagnetic Interference at System Level
AU - Genender, Evgeni
AU - Garbe, Heyno
AU - Sabath, Frank
PY - 2013/7/25
Y1 - 2013/7/25
N2 - This paper introduces a new procedural method for the systematic analysis of the risk when a specific facility is exposed to an intentional electromagnetic environment (IEME). The analysis is performed from the viewpoint of the system owner. The exposure of a system to IEME can be described by a set of different scenarios. The method presented in this paper combines characteristics of intentional electromagnetic interference scenarios with susceptibility data of components using statistical-based models for the coupling as well as the system behavior. Within each scenario the coupling to components of the system under assessment is ascertained by an analysis of the electromagnetic topology. The reaction of the system under assessment is modeled by combining the failure probabilities of the components employing the fault tree analysis. The application of a Monte Carlo simulation on the resulting model provides the probability of the top events of the fault trees which are the system level effects or consequences. In a final step, the importance analysis enables the identification of critical elements, e.g., those elements which contribute most to the risk, and therefore starting points for the improvement of the system protection.
AB - This paper introduces a new procedural method for the systematic analysis of the risk when a specific facility is exposed to an intentional electromagnetic environment (IEME). The analysis is performed from the viewpoint of the system owner. The exposure of a system to IEME can be described by a set of different scenarios. The method presented in this paper combines characteristics of intentional electromagnetic interference scenarios with susceptibility data of components using statistical-based models for the coupling as well as the system behavior. Within each scenario the coupling to components of the system under assessment is ascertained by an analysis of the electromagnetic topology. The reaction of the system under assessment is modeled by combining the failure probabilities of the components employing the fault tree analysis. The application of a Monte Carlo simulation on the resulting model provides the probability of the top events of the fault trees which are the system level effects or consequences. In a final step, the importance analysis enables the identification of critical elements, e.g., those elements which contribute most to the risk, and therefore starting points for the improvement of the system protection.
KW - effect analysis
KW - Electromagnetic (EM) effects
KW - intentional electromagnetic environment (IEME)
KW - intentional electromagnetic interference (IEMI)
KW - probabilistic risk analysis
KW - threat assessment
UR - http://www.scopus.com/inward/record.url?scp=84894589747&partnerID=8YFLogxK
U2 - 10.1109/TEMC.2013.2272944
DO - 10.1109/TEMC.2013.2272944
M3 - Article
AN - SCOPUS:84894589747
VL - 56
SP - 200
EP - 207
JO - IEEE Transactions on Electromagnetic Compatibility
JF - IEEE Transactions on Electromagnetic Compatibility
SN - 0018-9375
IS - 1
M1 - 6568885
ER -