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Разработка макромодели надежности импульсного источника вторичного электропитания
The article proposes a methodology for developing reliable macro-models of pulse secondary power sources (SPS) to predict the unit dependability indicator as the failure rate. A natural experiment was conducted to observe the operation of a pulse SPS under various electrical loads and temperatures, revealing a critical factor that significantly affects the dependability of pulse SPS: temperature. Additionally, a macro-model of dependability for pulse secondary power sources was developed, validated through both natural and virtual experiments. The task of constructing the macro-model is achieved using the approximation method of polynomial regression of degree n. The adequacy of the developed macro-model is confirmed by the coefficient of determination and a relative error not exceeding 3%. The analysis results confirm the high accuracy of the macro-model compared to full model of dependability for SPS. Dependencies are presented that confirm the fact that the most significant impact on the operational failure rate is exerted by external influencing factors, specifically temperature. The proposed methodology can also be applied to predict target reliability measures for other electronic devices, thereby enhancing the efficiency of system design.