Analysis of Approximating and Detailing Wavelet Decomposition Coefficients in the Risk Potential Predictive Algorithm

The paper addresses the challenges related to the information task of an APCS used in nuclear power plants. Specifically, it discusses the development of predictive models capable of calculating technical and economic indicators, utilizing essential parameters of the power unit. The models are built by conducting a thorough analysis of wavelet decomposition coefficients, ensuring accurate approximation and detailed analysis. Additionally, the paper presents an improved algorithm for evaluating the risk potential associated with the technological process.