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

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Cited articles

Aliev, R. Az.: Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions, Springer, Berlin, Germany, 2013.
Baum, C. E.: Electromagnetic topology: A formal approach to the analysis and design of complex electronic systems, Interaction Notes, Note 400, 1980.
Bedfort, T. and Cooke, R.: Probabilistic Risk Analysis: Foundations and Methods, Cambridge University Press, Cambridge, UK, 404 pp., 2001
Camp, M., Gerth, H., Garbe, H., and Haase, H.: Predicting the breakdown behavior of microcontrollers under EMP/UWB impact using a statistical analysis, IEEE T. Electromagn. C., 46, 368–379, https://doi.org/10.1109/TEMC.2004.831816, 2004.
Genender, E., Mleczko, M., Döring, O., Garbe, H., and Potthast, S.: Fault tree analysis for system modeling in case of intentional EMI, Adv. Radio Sci., 9, 297–302, https://doi.org/10.5194/ars-9-297-2011, 2011a.
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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.