Technology for restoring functional dependencies to determine reliability parameters

dc.contributor.authorKvasnikov, V.P.
dc.contributor.authorYehorov, S.V.
dc.contributor.authorShkvarnytska, T.Yu.
dc.date.accessioned2021-10-01T07:04:45Z
dc.date.available2021-10-01T07:04:45Z
dc.date.issued2021-03-30
dc.description.abstractThe problem of determining the properties of the object by analyzing the numerical and qualitative characteristics of a discrete sample is considered. A method has been developed to determine the probability of trouble-free operation of electronic systems for the case if the interpolation fields are different between several interpolation nodes. A method has been developed to determine the probability of trouble-free operation if the interpolation polynomial is the same for the entire interpolation domain. It is shown that local interpolation methods give more accurate results, in contrast to global interpolation methods. It is shown that in the case of global interpolation it is possible to determine the value of the function outside the given values by extrapolation methods, which makes it possible to predict the probability of failure. It is shown that the use of approximation methods to determine the probability of trouble-free operation reduces the error of the second kind. A method for analyzing the qualitative characteristics of functional dependences has been developed, which allows us to choose the optimal interpolation polynomial. With sufficient statistics, using the criteria of consent, it is possible to build mathematical models for the analysis of failure statistics of electronic equipment. Provided that the volume of statistics is not large, such statistics may not be sufficient and the application of consent criteria will lead to unsatisfactory results. Another approach is to use an approximation method that is applied to statistical material that was collected during testing or controlled operation. In this regard, it is extremely important to develop a method for determining the reliability of electronic systems in case of insufficiency of the collected statistics of failures of electronic equipment.ru_RU
dc.identifier.citationKvasnikov V.P. Technology for restoring functional dependencies to determine reliability parameters/V.P. Kvasnikov, S.V. Yehorov, T.Yu. Shkvarnytska//Қарағанды университетінің хабаршысы. Математика сериясы.= Вестник Карагандинского университета. Серия Математика. = Bulletin of the Karaganda University. Mathematics Series. -2021. №1. Р.78-86.ru_RU
dc.identifier.urihttps://rep.buketov.edu.kz/xmlui/handle/data/11145
dc.language.isoenru_RU
dc.publisherKU Publ.ru_RU
dc.relation.ispartofseriesҚарағанды университетінің хабаршысы. Математика сериясы.= Вестник Карагандинского университета. Серия Математика. = Bulletin of the Karaganda University. Mathematics Series.;№1(101)/2021
dc.subjectapproximationru_RU
dc.subjectinterpolationru_RU
dc.subjectreliability of electronic equipmentru_RU
dc.subjectstatistical processingru_RU
dc.subjectrestoration of functional dependenceru_RU
dc.subjectestimation of reliability indicatorsru_RU
dc.subjectsmall sampleru_RU
dc.subjectsufficiency of statisticsru_RU
dc.titleTechnology for restoring functional dependencies to determine reliability parametersru_RU
dc.title.alternativeСенімділік параметрлерін анықтау үшін функционалдық тәуелділікті қалпына келтіру технологиясыru_RU
dc.title.alternativeТехнология восстановления функциональных зависимостей для определения параметров надежностиru_RU
dc.typeArticleru_RU

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