Assessing Risk Potential of Critical Infrastructure of NPP: Fractal Analysis and Multiple-Scale Wavelet Transform

Abstract

Modern power units (PU) belong to significant objects of critical information infrastructure (SOCII). They are objects with a high degree of automation, equipped with advanced automatic control systems, a wide range of measured signals, and an intelligent operator support system (IOSS). The state of SOCII can describe by the current level of information security and the associated risk potential. Within the IOSS of nuclear power plant (NPP) is the task of calculating technical and economic indicators (TEI), the analysis of which will determine the anomalies in the PU’s operation. The informational task of calculating TEI based on data mining, fractal analysis, multi-level wavelet transform, and SOCII risk potential predicting models will allow us to determine the permissible operational limits and locations of anomalies. The paper for solving this problem proposes an algorithm for assessing risk potential based on a multiple-scale wavelet transform.