Instruments and Systems: Monitoring, Control, and Diagnostics Annotation << Back Technical diagnostics of information-measuring and managing system with the use of neural network technologies I.G. RYAZANOV, YU.T. ZYRYANOV, A.YU. NAUMOV An approach is proposed for technical diagnostics and determination of the optimal periodicity of maintenance of informationmeasuring and control systems using neural network technologies, based on the use of factual data on the current technical state of the information-measuring and control system. The structure of the system, which carries out the formation of dynamic models of parameters that determine the technical state of the information-measuring and control system, is presented. Algorithms for its implementation are proposed, the distinctive feature of which is the joint use of a nonlinear recurrent network and a nonlinear autoregressive network model, which allows adaptively adjusting the model parameters of the information-measuring and control system with the current technical condition. Keywords: coefficient of technical use; technical diagnosis; optimal maintenance period; neural networks; maintenance system efficiency. DOI: 10.25791/pribor.05.2019.633 Contacts: E-mail: zut-tmb@mail.ru Pp. 37-46.