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EN
The approach for analytical modelling operation processes of composed and integrated information systems is proposed. It allows to estimate the reliability and timeliness of information producing, the completeness, validity and confidentiality of the used information from users’ point of view. In application to composed and integrated systems the existing models are developed by introducing the space of elementary events for operation processes from system engineering point of view. It is intended for systems analysts for any IS. Some effects are demonstrated by examples.
EN
The work purpose is the quantitative proof of importance and necessity of increasing adequacy of probabilistic models, described by probability distribution functions (PDF) of time between losses of system integrity. For purpose achievement the analysis of probabilistic metrics of risks and the elementary forms to establish an admissible risks is carried out, some ways of increasing an adequacy of probabilistic models for complex structures are described. Possibilities of extracting the latent knowledge from an adequate PDF are shown. Practical value of the researches are the revealed possibilities for a substantiation of more effective system decisions at the expense of increasing accuracy of risks prediction. Effects are demonstrated by examples.
EN
The original methodological approach based on the risks analysis and optimization is proposed to research variants for developing hydrocarbon deposits of Arctic regions. The basic analytical problems that are due to be solved by probabilistic modelling of processes are formulated. Input and otput allow to research different variants for developing hydrocarbon deposits of Arctic regions. Some effects are demonstrated by example.
EN
The problem of equipment functioning reliability in gas transport systems is extremely urgent. This article deals with the algorithm of estimation and prediction of reliability factors of gas-compressor units and automatic systems, which uses statistical information about elements failures as input data. This algorithm is based on methods of mathematical statistics and regression analysis and provides the opportunity to obtain predictive estimate of failure rate, time between failures and availability function. In addition, the article describes the outcome of algorithm action, disagreement between industrial data about systems functioning and technical specification of these systems.
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