Advances in Radio Science
Advances in Radio Science
ARS
Articles | Volume 14
Articles | Volume 14
https://doi.org/10.5194/ars-14-91-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/ars-14-91-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 14
28 Sep 2016
 | 28 Sep 2016

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

Tim Peikert, Heyno Garbe, and Stefan Potthast

Viewed

Total article views: 1,287 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
615 575 97 1,287 92 97
  • HTML: 615
  • PDF: 575
  • XML: 97
  • Total: 1,287
  • BibTeX: 92
  • EndNote: 97
Views and downloads (calculated since 28 Sep 2016)
Cumulative views and downloads (calculated since 28 Sep 2016)

Viewed (geographical distribution)

Total article views: 1,181 (including HTML, PDF, and XML) Thereof 1,175 with geography defined and 6 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 03 May 2024
Download
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.
Read more