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ОПРЕДЕЛЕНИЕ ОБЛАСТИ РАБОТОСПОСОБНОСТИ НА ОСНОВЕ АЛГОРИТМА НЕПРЕРЫВНОГО ПОИСКА ЕЕ ГРАНИЧНЫХ ТОЧЕК

ОПРЕДЕЛЕНИЕ ОБЛАСТИ РАБОТОСПОСОБНОСТИ НА ОСНОВЕ АЛГОРИТМА НЕПРЕРЫВНОГО ПОИСКА ЕЕ ГРАНИЧНЫХ ТОЧЕК

Abstract

The article considers the ways of finding boundary points of the field of working capacity for technical systems. The secant method is described, assuming a continuous search procedure. An algorithm that allows expanding the sphere of application of the secant method is considered, as well as improving the search efficiency due to the analysis of a limited part of the secant, determined by the field of the working capacity itself. Quantitative estimates of the developed algorithm are given. The probabilistic characteristics of the secant method are considered and the evaluation of the area of its application is given. The results of the study are confirmed by the examples of practical implementation of the method applied to electrical systems.

Рассмотрены способы поиска граничных точек области работоспособности применительно к техническим системам. Изложен метод секущих, предполагающий непрерывную процедуру поиска. Рассмотрен алгоритм, позволяющий расширить сферу применения метода секущих, а также повысить эффективность поиска за счет анализа не всей, а лишь ограниченной части секущей, определяемой самой областью работоспособности. Приведены количественные оценки разработанного алгоритма. Рассмотрены вероятностные характеристики метода секущих и дана оценка области его применения. Результаты исследования подтверждены примерами практической реализации метода применительно к электротехническим системам.

№09(63) (2017)

Keywords

secant method, field of working capacity, technical system, probabilistic characteristics, область работоспособности, вероятностные характеристики, метод секущих, техническая система

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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