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0,727 — двухлетний импакт-фактор

Моделирование и анализ данных

Издатель: Московский государственный психолого-педагогический университет

ISSN (печатная версия): 2219-3758

ISSN (online): 2311-9454

DOI: https://doi.org/10.17759/mda

Лицензия: CC BY-NC 4.0

Издается с 2011 года

Периодичность: 4 номера в год

Язык журнала: русский

Доступ к электронным архивам: открытый

 

Оценка вклада человеческого фактора в эксплуатационные характеристики сложных технических систем 73

Куравский Л.С.
доктор технических наук, декан факультета информационных технологий, Московский государственный психолого-педагогический университет, Москва, Россия
ORCID: https://orcid.org/0000-0002-3375-8446
e-mail: l.s.kuravsky@gmail.com

Юрьев Г.А.
кандидат физико-математических наук, доцент, заведующий научной лабораторией, Московский государственный психолого-педагогический университет, Москва, Россия
ORCID: https://orcid.org/0000-0002-2960-6562
e-mail: g.a.yuryev@gmail.com

Златомрежев В.И.
заведующий лаборатории, Государственный научно-исследовательский институт авиационных систем («ГосНИИАС»), Москва, Россия
ORCID: https://orcid.org/0000-0003-1776-6881
e-mail: vizlatomr@2100.gosniias.ru

Юрьева Н.Е.
кандидат технических наук, научный сотрудник, центра информационных технологий для психологических исследований факультета информационных технологий, Московский государственный психолого-педагогический университет, Москва, Россия
ORCID: https://orcid.org/0000-0003-1419-876X
e-mail: yurieva.ne@gmail.com

Михайлов А.Ю.
инженер 1 кат, Государственный научно-исследовательский институт авиационных систем (ГосНИИАС), Москва, Россия
ORCID: https://orcid.org/0000-0003-0278-1819
e-mail: aymihaylov@2100.gosniias.ru

Аннотация

Оценка влияния человеческого фактора на деятельность операторов сложных технических систем является важной задачей для мониторинга состояния, подготовки и диагностики персонала. Представлены обзор и взаимные сравнения подходов, которые используются для оценки влияния человеческого фактора и уже показали свою эффективность в практическом применении. Рассматриваются: моделирование структурными уравнениями (конфирматорный факторный анализ), байесовские оценки вероятностных моделей, представленные марковскими случайными процессами, многомерные статистические методы, включающие дискриминантный и кластерный анализ, а также вейвлет-преобразования.

Ссылка для цитирования

Благодарности

Работа выполнена как часть проекта «SAFEMODE» (грант № 814961) при финансовой поддержке Министерства науки и высшего образования Российской Федерации (проект UID RFMEFI62819X0014).

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