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Алгоритм распознавания вида ремонта средства поражения после пулеосколочных воздействий

Алгоритм распознавания вида ремонта средства поражения после пулеосколочных воздействий

Abstract

This article discusses the methodology and algorithm for the probabilistic assessment of the technical condition of military equipment after the damaging effects of enemy munitions. The algorithm allows a high probability to establish ownership of damaged equipment to one of existing categories. It can be used in the instrumental system operational diagnosis.

Рассмотрены методика и алгоритм вероятностной оценки технического состояния объектов военной техники после поражающих воздействий боеприпасов противника. Алгоритм позволяет с высокой вероятностью устанавливать принадлежность поврежденной техники к одной из существующих категорий. Он может быть использован в инструментальной системе оперативной диагностики.

Keywords

ОПЕРАТИВНАЯ ДИАГНОСТИКА, ОСКОЛОЧНОЕ ВОЗДЕЙСТВИЕ, МЕТОД БАЙЕСА, ОЦЕНКА ТЕХНИЧЕСКОГО СОСТОЯНИЯ, ПОРАЖАЮЩИЙ ЭЛЕМЕНТ

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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
gold