Improving diagnostic models for forecasting the behavior of dams equipped with automated monitoring systems

dc.contributor.authorStefanyshyn, D. V.
dc.date.accessioned2019-05-31T11:57:55Z
dc.date.available2019-05-31T11:57:55Z
dc.date.issued2016
dc.description.abstractAn approach to forecasting the behaviour of dams according to the data of instrumental observations with regard to capabilities of automated monitoring systems has been proposed. The approach is based on the use of situational and inductive models, where the situational models correspond to selective series of dynamics of observed data within limited time intervals and the inductive models which are constructed on model data derived from situational models simulate evolutions of diagnostic parameters.uk_UA
dc.identifier.citationStefanyshyn D. V. Improving diagnostic models for forecasting the behavior of dams equipped with automated monitoring systems / D. V. Stefanyshyn // Екологічна безпека та природокористування : зб. наук. праць. / Ін-т телекомунікацій і глобал. інформ. простору, Київ. нац. ун-т буд-ва і архіт. ; гол. ред. : О. С. Волошкіна, О. М. Трофимчук. - Київ, 2016. - Вип. 22. – С. 111-121. – Бібліогр. : 7 назв.uk_UA
dc.identifier.issn2411-4049
dc.identifier.issn2616-2121
dc.identifier.urihttps://repositary.knuba.edu.ua/handle/987654321/622
dc.language.isoenuk_UA
dc.publisherІТІГІПuk_UA
dc.subjectautomated monitoring systemsuk_UA
dc.subjectdamsuk_UA
dc.subjectdependent and independent variableuk_UA
dc.subjectinstrumental observationsuk_UA
dc.subjectinductive and situational modelsuk_UA
dc.subjectlong-term and real-time forecastinguk_UA
dc.subjectmonotonic and non-monotonic data series of dynamicsuk_UA
dc.subject.udc626/627 :621.7uk_UA
dc.subject.udc004.942uk_UA
dc.subject.udc519.25uk_UA
dc.titleImproving diagnostic models for forecasting the behavior of dams equipped with automated monitoring systemsuk_UA
dc.typeArticleuk_UA

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