DOI: https://doi.org/10.15588/1607-3274-2018-2-2

ALGORITHMS OF SIMULATION OF TECHNICAL SERVICE PROCESSES AS COMPLEX RADIOELECTRONIC OBJECTS

G. В. Zhyrov, E. S. Lenkov

Abstract


Context. Development of complex radioelectronic facilities and maintenance is impossible without the development of models and
software, to optimize these processes. For this, the corresponding algorithms have been developed in the work, which are part of the software, which is an urgent task.
Objective. The purpose of this work is to develop approaches to improve the reliability of the object and reduce the cost of its operation
based on the use of simulation statistical modeling.
Method. The method of investigation is based on the idea that the technical state of an object is determined by the technical state of its
elements, and the concept of a determining parameter is used to determine the technical state of an element. The value of the parameter can be controlled by means of diagnostics. As the models of element failures, a DN-distribution is used.
Results. The developed algorithms are an integral part of the simulation statistical model of the object. The simulation allows to
determine the optimal design characteristics of the object and the parameters of its maintenance, and the criterion is to maximize reliability indicators and minimize the cost of operating the facility.
Conclusions. The scientific novelty of the work is to improve the state maintenance algorithms, which, unlike the existing ones, use the
predictive parameter of the average degradation rate of the element’s determining parameter based on the three-parameter exponential
smoothing model. Practical value consists in the development of algorithms that form the basis of software that implements the process of determining reliability indicators and the cost of operating an object of radioelectronic equipment from the structural composition of the facility itself and the parameters of maintenance.


Keywords


maintenance according to condition; adaptive maintenance; defining parameter

References


Lenkov S. V., Boriak K. F., Banzak G. V., Braun V. O., Osypa V. A., Pashkov S. A., Tsytsarev V. N., Berezovskaia Iu. V. Prognozirovanie nadezhnosti slozhnyh obektov radiojelektronnoj tehniki i

optimizacija parametrov ih tehnicheskoj jekspluatacii s

ispolzovaniem imitacionnyh statisticheskih modelej. Odessa, VMV, 2014 256 р.

Butochnov A. N., Kredencer B. P., Tocenko V. G., Cycarev V. N. i dr. Osnovy nadezhnosti i tehnicheskoe obespechenie radiojelektronnyh sredstv RTV PVO. Kyiv, KKVIRTU PVO, 1982, 226 р.

Xiao Feng Liang, Hong Dong Wang, Hong Yi, Dan Li. (). Warship reliability evaluation based on dynamic bayesian networks and numerical simulation, Ocean Engineering, 2017, No. 136, pp. 129–140.

Iris Tien, Armen Der Kiureghian Algorithms for Bayesian network modeling and reliability assessment of infrastructure systems. Reliability Engineering & System Safety, 2016, Vol. 156, pp. 134–147.

Zhang Hui, Wang Ying, Lou Wenzhong, Liu Fangyi, Wang Fufu. Reliability Factors Analysis of MEMS Safety and Arming System. Engineering Materials, 2014, Vol. 609–610, pp. 1494–1497. ISSN: 1662-9795. DOI: 10.4028/www.scientific.net/KEM.609-610.1494.

Hao J, Zhang L, Wei L. Reliability analysis based on improved dynamic fault tree. Engineering asset management. London: Springer, 2011, pp. 283–299. https://doi.org/10.1007/978-1-4471-4993-4_26.

Lindhe A, Norberg T, Ros n L. Approximate dynamic fault tree calculations for modelling water supply risks. Reliability Engineering & System Safety, 2012, Volume 106, October, pp. 61–71 https://doi.org/10.1016/j.ress.2012.05.003

Ivan V. Postnikova, Valery A. Stennikova, Ekaterina E.

Mednikovaa, Andrey V. Penkovskiia A Methodology for

Optimziation of Component Reliability of Heat Supply Systems Energy Procedia, 2017, Volume 105, рр. 3083–3088. https://doi.org/10.1016/j.egypro.2017.03.643

Zhirov G. B., Lenkov E. S. Algoritmіchna model procesu tehnіchnogo obslugovuvannja za stanom z postіjnoju perіodichnіstju kontrolju. Suchasna specіalna tehnіka, 2017, No. 1(48), pp. 26–29.

Zhirov G. B., Lenkov E. S. Algoritmіchna model adaptivnogo tehnіchnogo obslugovuvannja za stanom ozbroєnnja і vіjskovoї tehnіki. Zbіrnik prac Nacіonalnoї akademії Derzhavnoї prikordonnoї sluzhbi Ukraїni іmenі B. Hmelnickogo. Serіja: vіjskovі ta tehnіchnі nauki. 2017, No. 1(71), рр. 368–378.

Zhirov G. B., Lenkov E. S. Usovershenstvovannaja imitacionnaja model processa tehnicheskogo obsluzhivanija i remonta slozhnogo tehnicheskogo obekta, Sistemi obrobki іnformacії, 2017,

No. 3 (149), рр. 14–18.


GOST Style Citations


1. Прогнозирование надежности сложных объектов радиоэлек-
тронной техники и оптимизация параметров их технической
эксплуатации с использованием имитационных статистичес-
ких моделей / [С. В. Ленков, К.Ф. Боряк, Г. В. Банзак и др.]. –
Одесса : Изд-во «ВМВ», 2014. – 256 с.
2. Основы надежности и техническое обеспечение радиоэлект-
ронных средств РТВ ПВО / [А. Н. Буточнов, Б. П. Креденцер,
В. Г. Тоценко и др.]. – К. : КВИРТУ ПВО, 1982. – 226 с.
3. Xiao Feng Liang Warship reliability evaluation based on dynamic
bayesian networks and numerical simulation / Xiao Feng Liang,
Hong Dong Wang, Hong Yi, Dan Li // Ocean Engineering. –
2017. – No. 136. – P. 129–140.
4. Iris Tien Algorithms for Bayesian network modeling and reliability
assessment of infrastructure systems / Iris Tien, Armen Der
Kiureghian // Reliability Engineering & System Safety. – 2016. –
No. 156. – P. 134–147.
5. Zhang Hui Reliability Factors Analysis of MEMS Safety and
Arming System / Zhang Hui, Wang Ying, Lou Wenzhong, Liu
Fangyi, Wang Fufu // Engineering Materials. – 2014. – Vol. 609–
610. – P. 1494–1497. DOI:10.4028/www.scientific.net/
KEM.609-610.1494.
6. Hao J. Reliability analysis based on improved dynamic fault tree
/ J. Hao, L. Zhang, L. Wei // Engineering asset management. –
London : Springer, 2011. – P. 283–299. https://doi.org/10.1007/
978-1-4471-4993-4_26.
7. Lindhe A. Approximate dynamic fault tree calculations for
modelling water supply risks / A. Lindhe, T. Norberg, L. Ros n
// Reliability Engineering & System Safety. – 2012. – Volume
106, October 2012. – P. 61–71. DOI: 10.1016/j.ress.2012.05.003
8. Postnikova Ivan V. A Methodology for Optimziation of Component
Reliability of Heat Supply Systems / [Ivan V. Postnikova,
Valery A. Stennikova, Ekaterina E. Mednikovaa,
Andrey V. Penkovskiia] // Energy Procedia. – 2017. – Vol. 105. –
P. 3083–3088. https://doi.org/10.1016/j.egypro.2017.03.643
9. Жиров Г.Б. Алгоритмічна модель процесу технічного обслу-
говування за станом з постійною періодичністю контролю
/ Г. Б. Жиров, Е. С. Ленков // Сучасна спеціальна техніка:
наук-пр. журн. – 2017.– №1(48). – С. 26–29.
10. Жиров Г. Б. Алгоритмічна модель адаптивного технічного
обслуговування за станом озброєння і військової техніки /
Г. Б. Жиров, Е. С. Ленков / Збірник праць Національної ака-
демії Державної прикордонної служби України імені Б. Хмель-
ницького. Серія : військові та технічні науки. –2017. –
Вип. 1 (71). – С.368–378.
11. Жиров Г. Б. Усовершенствованная имитационная модель про-
цесса технического обслуживания и ремонта сложного тех-
нического объекта / Г. Б. Жиров, Е. С. Ленков // Журнал Хар-
ківського національного університету Повітряних Сил імені
І. Кожедуба «Системи обробки інформації». – 2017. –
Вип. № 3 (149). – С. 14–18






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