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Visoka tehnička škola strukovnih studija , Novi Sad , Serbia
Tehnički fakultet “Mihajlo Pupin”, University of Novi Sad , Novi Sad , Serbia
Visoka tehnička škola strukovnih studija , Novi Sad , Serbia
During the development and exploitation of various technical systems, often encounter the need to we need the data pertaining to predict how these systems behave during their exploitation. This primarily relates to their technical qualities such as reliability indicators (reliability, availability, mean time between failures, failure intensity, etc.). Reliability and availability of complex technical systems, built from a large number of components, which have a large number of possible states, it is difficult (practically impossible) to determine the means of analytical expressions, because it requires setting up and solving a large number of equations. Therefore, the authors of this paper have developed their own model for calculating the indicators of reliability of complex technical systems, such as wind turbines which are built of electronic, electromechanical and mechanical components and whose use is significant with us still expected in the future. This model is based on the use of Monte Carlo simulation methods and developed a program that enables easy operation, good simulation that is easy to read, and re-calculated if necessary. The basis of which begins in the simulated Monte Carlo methods are already known data, and this is primarily related to the known density function describing the evolution of a given system in time, and that over the pseudo-random number generator parts, and as such are included in the necessary calculations. To verify the validity of the proposed model was made budget reliability and availability of simple technical systems using this model and using analytical expressions. It is determined by a high degree of concordance of the results, which confirmed the validity of the proposed model. This confirms the possibilities for further work on the development of new models for simulating the reliability and available to precomplex and other technical systems.
reliability, availability, complex technical systems, wind generators, simulation Monte Carlo meth
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