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Обзор методов и подходов обнаружения отказов и отказоустойчивости системы управления для роботизированных морских подвижных объектов

Обзор методов и подходов обнаружения отказов и отказоустойчивости системы управления для роботизированных морских подвижных объектов

Abstract

Использование автономных роботизированных морских подвижных объектов значительно увеличилось в последние годы. Такие объекты представляют собой сложные аппаратно-программные комплексы, участвующие в заданиях, проходящих в неопределенных условиях, поэтому степень автономности становится важным вопросом. Поэтому способность обнаруживать и продолжать поддерживать работоспособность при ошибках или отказах оборудования является ключевым фактором для успешного завершения миссии или возобновления прежнего состояния объекта. В этой статье произведен обзор методов обнаружения неисправностей исполнительных механизмов, приборов и алгоритмов отказоустойчивости.

The methods for the detection of faults of actuators, devices and algorithms for fault tolerance were considered. The problem of fault diagnosis is an important aspect in the design and use of control systems. Marine objects are complex hardware and software systems involved in the tasks taking place in uncertain environments, there is a way the degree of autonomy becomes an important issue. Therefore, the ability to detect and to continue to maintain the health while an error or equipment failure is a key factor for the successful completion of the mission or the resumption of the previous state of the object.

Keywords

МОДЕЛИРОВАНИЕ, СИСТЕМЫ УПРАВЛЕНИЯ, ДИАГНОСТИКА, ОТКАЗОУСТОЙЧИВОСТЬ, НЕЙРОСЕТИ, МОРСКИЕ ПОДВИЖНЫЕ ОБЪЕКТЫ

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Powered by OpenAIRE graph
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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