Article 2318

Title of the article

TO THE QUESTION ABOUT PROGNOSTICATION OF THE PRE-REFUSE STATE OF OBJECT OF EXPLOITATION OF AIR TRANSPORT 

Authors

Zatuchnyy Dmitriy Aleksandrovich, candidate of technical sciences, professor, sub-department of calculable machines, complexes, systems and networks, Moscow State Technical University of Civil Aviation (125993, 20 Kronshtadtskiy avenue, Moscow, Russia),
E-mail: zatuch@mail.ru 

Index UDK

621.396.98.004.1 

DOI

10.21685/2307-4205-2018-3-2 

Abstract

Going near the decision of issue of the day is resulted in this article – to prognostication of the prerefuse state of different objects of exploitation. Factors which must be taken into account for prognostication of development of the pre-refuse state of objects of exploitation of air transport are resulted. For the estimation of scale of problems, caused a situation, related to development of pre-refuse situations, illustration is conducted on the example of radio electronic equipment. The mathematical model of development of the pre-refuse state is resulted. Recommendation is given, that for the calculation of production-technological rejections and admittances it is necessary to use the method of decomposition of functions in rows and method of Monte Carlo. A conclusion is done about possibility of implementation of calculation of all probabilistic descriptions for the process of development of the pre-refuse state on the stage of development and determination of calculation-operating descriptions of objects of exploitation of air transport. A conclusion is done about narrow-mindedness of volume of information which can be used for prognostication of the pre-refuse state of object of exploitation. Three conditions are resulted, at which information, got during the tests of analogical objects, it is possible to use. 

Key words

pre-refuse state, exploitation of air transport, admittance, probabilistic description, state of radio electronic equipment 

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Дата создания: 04.02.2019 12:43
Дата обновления: 04.02.2019 13:37