Applied Physics and Mathematics Annotation << Back ON THE METHODOLOGY FOR MANAGING THE OPERABILITY OF HARDWARE OF PROTECTED INFORMATION PROCESSING SYSTEMS S.G. SINEV, A.A. ROMANOV Performance management of hardware processing systems is considered in terms of assessing their actual technical condition based on the results of monitoring of controlled parameters and technical forecasting of future values of these parameters. Approaches to managing the operability of hardware using the technology of “digital twins”, which are based on artificial neural networks, are presented. A forecasting technique is proposed by analyzing fuzzy time series representing a time-ordered set of retrospective values of controlled parameters. Forecasting is implemented by analyzing increments of the values of these parameters, semi-automatic formation of a set of fuzzy inference rules and models of fuzzy conditional statements based on the results of the analysis. The proposed methodology is quite simple and can be applied as one of the components of technical analysis. The generated set of rules can be used in the future in order to increase the effectiveness of adaptive neural fuzzy inference systems. Keywords: technical condition, forecasting, artificial neural networks, controlled parameters, digital twin, fuzzy inference, fuzzy relationships, computational model. DOI: 10.25791/pfim.04.2022.1238 Pp. 35-43.