Analysis of operation models of complex technical systems

A retrospective analysis of existing models of operation of complex technical systems with metrological support has been carried out. The models of failures and degradation of complex technical systems based on diffusion monotone and diffusion non-monotone distributions, the model of failures and degradation of complex technical systems based on three-parameter diffusion distribution are described. Failure and degradation models are used together with the classical model of E. I. Sychev and more complex models developed on its basis. For complex technical systems that allow full resource recovery during repair, a model of operation of complex technical systems has been developed, taking into account 4 degrees (groups) of degradation of complex technical systems. The model is described by a system of linear algebraic equations of the 21st order. The functional dependence of the stationary readiness coeffi cient on the calibration intervals of measuring instruments included in complex technical systems of various degradation groups is constructed. For complex technical systems that do not allow full restoration of the resource during repair, a model of operation of complex technical systems has been developed, taking into account 3 groups of degradation of complex technical systems. The model is described by a system of linear algebraic equations of the 24th order. The model allows you to simulate the main stages of the life cycle of a fl eet of complex technical systems, including, among other things, the processes of updating a fl eet of complex technical systems through the purchase of new samples and upgrades, existing samples of complex technical systems. The models presented in the article allow calculating optimal values of intervals between verifi cations and optimal values of tolerances for controlled parameters for different groups of degradation of complex technical systems with metrological support, ensuring the maximum level of stationary availability coeffi cient. The developed set of models can be used to classify complex technical systems in order to set requirements for their metrological support. The models can also be used to calculate the technical and economic indicators of the development of a fl eet of complex technical systems.

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