Application of interval statistics methods for power station equipment diagnostics in conditions of initial data uncertainty

dc.contributor.authorEfimov, Aleksanderen
dc.contributor.authorPotanina, Tatianaen
dc.date.accessioned2014-04-11T07:40:52Z
dc.date.available2014-04-11T07:40:52Z
dc.date.issued2012
dc.description.abstractIn article principles of automated diagnostics system construction of the power units equipment and planning of repairs are investigated. The model constructed on the basis of interval data statistics of diagnostic functions is presented.en
dc.identifier.citationEfimov A. Application of interval statistics methods for power station equipment diagnostics in conditions of initial data uncertainty / F. Efimov, T. Potanina // MOTROL - Motorization and Power Industry in Agriculture. – 2012. – № 14. – 8 p.en
dc.identifier.urihttps://repository.kpi.kharkov.ua/handle/KhPI-Press/5394
dc.language.isoen
dc.publisherPolska Akademia Nauk Oddzial w Lublinieen
dc.subjectdiagnostics of power station equipmenten
dc.subjectduration of planned repair worken
dc.subjectduration of the between-repairs periodsen
dc.subjectavailability factoren
dc.subjectinitial data uncertaintyen
dc.subjectinterval statisticsen
dc.titleApplication of interval statistics methods for power station equipment diagnostics in conditions of initial data uncertaintyru
dc.title.alternativeПрименение методов интервальной статистики для диагностики состояния оборудования электростанций в условиях неопределенности исходных данныхru
dc.typeArticleen

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