Development of an experimental-estimation method for estimating indices of residual life of a radio technical complex
DOI:
https://doi.org/10.15587/1729-4061.2021.233538Keywords:
estimation of indices of residual life, operation according to technical condition, radio technical complexAbstract
To implement the operation of a radio technical complex according to its technical condition, it is necessary to jointly evaluate its reliability and residual life indices with required accuracy and reliability and minimization of the scope of special tests. The known methods are focused on separate solutions to the problems of estimating these indices as applied to the regulated strategy.
To solve this problem, general provisions have been developed for estimating the indices of residual life of the radio technical complex including the accepted assumptions and limitations for developing the method, the estimated indices, and criteria of limiting state. The developed experiment-calculated method is a set of mathematical models of change of the reliability indices of a radio technical complex depending on calendar duration of operation or total operating time and analytical models of estimating the indices of its residual life.
The mathematical models of change of mean time between failures, the probability of failure-free switching, and the parameter of the flow of failures of the radio technical complex depending on calendar duration of operation or the total operating time were presented in a form of regressive dependences. Analytical models of estimating the residual life indices are ratios for calculating the "average residual service life (resource)" according to the technical and economic criterion using regression-time dependences of the reliability indices.
The developed experiment-calculated method can be used to estimate the indices of residual life of the radio technical complex with acceptable accuracy (no more than 2 quarters) and reliability (no worse than 0.8). In this case, the duration of the intervals of predicting the reliability indices should be 0.5 to 1 year and the corresponding observation intervals should be more than 1 year
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Copyright (c) 2021 Vadim Lukianchuk, Boris Lanetskii, Hennadii Khudov, Ivan Terebuha, Oleksii Zvieriev, Oleh Shknai, Denys Zapara, Serhii Petruk, Valentyn Dyptan, Oleksandr Piavchuk
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