MATEC Web Conf.
Volume 210, 201822nd International Conference on Circuits, Systems, Communications and Computers (CSCC 2018)
|Number of page(s)||5|
|Published online||05 October 2018|
The use of network models in the inspection of objects of industrial installations.
Faculty of Cybernetics, Military University of Technology (WAT), Gen. Witolda Urbanowicza 2 Str., 00-908 Warsaw, Poland
* Corresponding author: email@example.com
Today’s industrial installations consist of many interconnected elements. The source of a threat or failure of an installation can be not only damage to a single element (device), but also the interaction between individual elements of such a system. In order for the installation to meet safety requirements, the risk of failure should be properly assessed and appropriate prevention systems should be selected and the effects of its occurrence reduced. In order to achieve this, many care for the safety of such structures, inspection organizations carry out risk analysis and risk assessment with various methods. Due to the large number of elements that comprise installations of this class, the problem is to find cleary, uncomplicated and easy to implemented (cheap and low time-consuming) way to identify the relationship between its various elements. Possibility of specify and visualize relationships between elements of installations, their vulnerabilities, safeguards and the effects of threats is an unquestionable advantage of the network models in case of risk assessment carried out on a model built in this way. They allow network analysis based on centrality analysis. Relatively simple method of analysis of these networks. This article discusses few from many areas of application the network model in risk analysis in technical structures.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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