Publication:
Adaptive Behavioral Model of the Electricity Object Management Operator for Intelligent Current Personnel Condition Monitoring Systems

Простая страница элемента
dc.contributor.authorGolov, P. V.
dc.contributor.authorNikishov, K. S.
dc.contributor.authorAlyushin, M. V.
dc.contributor.authorKolobashkina, L. V.
dc.contributor.authorАлюшин, Михаил Васильевич
dc.contributor.authorКолобашкина, Любовь Викторовна
dc.date.accessioned2024-11-25T15:43:23Z
dc.date.available2024-11-25T15:43:23Z
dc.date.issued2020
dc.description.abstract© 2020, Springer Nature Switzerland AG.The task of ensuring the reliability of the human factor (RHF) has been singled out as one of the components of state priorities in the field of safety ensuring of electric power facilities. The relevance of solving the problem of predicting a possible change in the operator functional state (OFS) for managing such objects is substantiated. The models used in practice are usually based on the analysis of bioparameters characterizing the current state of the human cardiovascular system, such as heart rate (HR), heart rate variability (HRV), blood pressure (BP), sometimes electrocardiogram parameters (ECG), skin-galvanic reaction (SGR), photoplethysmogram (PPG). Failure to take into account the effect of fatigue accumulation in such models leads to a decrease in the accuracy of OFS possible changes prediction. An iterative behavioral model of the operator is proposed that takes into account the effect of fatigue accumulation.
dc.format.extentС. 319-327
dc.identifier.citationAdaptive Behavioral Model of the Electricity Object Management Operator for Intelligent Current Personnel Condition Monitoring Systems / Golov, P.V. [et al.] // Mechanisms and Machine Science. - 2020. - 80. - P. 319-327. - 10.1007/978-3-030-33491-8_38
dc.identifier.doi10.1007/978-3-030-33491-8_38
dc.identifier.urihttps://www.doi.org/10.1007/978-3-030-33491-8_38
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85078217934&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/20174
dc.relation.ispartofMechanisms and Machine Science
dc.titleAdaptive Behavioral Model of the Electricity Object Management Operator for Intelligent Current Personnel Condition Monitoring Systems
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.volume80
relation.isAuthorOfPublication38e99d7f-1e48-4385-a7eb-df9e4b517eb6
relation.isAuthorOfPublicationbd910ac1-037c-4faa-9e4f-2631c4c1ec4c
relation.isAuthorOfPublication.latestForDiscovery38e99d7f-1e48-4385-a7eb-df9e4b517eb6
relation.isOrgUnitOfPublicationdcdb137c-0528-46a5-841b-780227a67cce
relation.isOrgUnitOfPublicationd19559ab-04cd-486a-ae8e-f40ccd36a1a6
relation.isOrgUnitOfPublication.latestForDiscoverydcdb137c-0528-46a5-841b-780227a67cce
Файлы
Коллекции
Публикации