The article deals with the problem of data processing in wind turbines operation systems. The current status of wind power was analyzed, particularly the prospect of using wind turbines both onshore and offshore for generating electricity in the Black Sea region. Main attention was paid to actual statistical data processing received during the operation of wind turbines. Statistical model of times between failures and times to repairs was analyzed. This analysis made it possible to calculate the probability density function of availability. In addition, mathematical models that specify statistical data on q-q plot were made, which can be used for solving the forecasting problems.  Index Terms-operation system, statistical data processing, mean time between failures, q-q plot

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The paper deals with the statistical data processing algorithms in operation system of radio electronic equipment. The main purpose is analysis of data processing algorithm efficiency according to the analytical calculations and simulation results. During radio electronic equipment operation failures are possible. These failures affect on the equipment’s technical condition that can deteriorate. In case of condition-based maintenance, it is necessary to detect the time moment of deterioration beginning. Therefore, in this paper the deterioration detection algorithm was developed according to Neyman-Pearson criterion with a fixed sample size. The initial data are times between failures of radio electronic equipment, and these data can be identified by the exponential probability density function. The step-function model was chosen for failure rate change description. To estimate efficiency the operating characteristic was calculated. The simulation based on Monte-Carlo method confirmed the correctness of theoretical calculations.

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