Hybrid-optional effectiveness functions entropy conditional extremization doctrine contributions into engineering systems reliability assessments

• Autorzy: Goncharenko Andriy Viktorovich

Identyfikatory

DOI

10-2478/tar-2019-0012

• Języki publikacji: EN

Abstrakty

EN

In this publication a Doctrine for the Conditional Extremization of the Hybrid-Optional Effectiveness Functions Entropy is discussed as a tool for the Reliability Assessments of Engineering Systems. Traditionally, most of the problems having been dealt with in this area relate with the probabilistic problem settings. Regularly, the optimal solutions are obtained through the probability extremizations. It is shown a possibility of the optimal solutions “derivation”, with the help of a model implementing a variational principle which takes into account objectively existing parameters and components of the Markovian process. The presence of an extremum of the objective state probability is observed and determined on the basis of the proposed Doctrine with taking into account the measure of uncertainty of the hybrid-optional effectiveness functions in the view of their entropy. Such approach resembles the well known Jaynes’ Entropy Maximum Principle from theoretical statistical physics adopted in subjective analysis of active systems as the subjective entropy maximum principle postulating the subjective entropy conditional optimization. The developed here with Doctrine implies objective characteristics of the process rather than subjective individual’s preferences or choices, as well as the states probabilities maximums are being found without solving a system of ordinary linear differential equations of the first order by Erlang corresponding to the graph of the process. Conducted numerical simulation for the proposed mathematical models is illustrated with the plotted diagrams.

Słowa kluczowe

EN

effectiveness functions entropy; hybrid-optional effectiveness; multi-optionality; optimal distribution; variational principle; probability; reliability; entropy maximum principle; optimal periodicity

• Wydawca: Wydawnictwa Naukowe Sieci Badawczej Łukasiewicz - Instytutu Lotnictwa
• Czasopismo: Transactions on Aerospace Research
• Rocznik: 2019
• Tom: Nr 2 (255)
• Strony: 96--106
• Opis fizyczny: Bibliogr. 49 poz., rys., wykr., wzory

Twórcy

autor

Goncharenko Andriy Viktorovich

• Aerospace Faculty, National Aviation University, 1, Kosmonavta Komarova Avenue, Kyiv, 03058, Ukraine

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).