Efficiency of Operational Data Processing for Radio Electronic Equipment

Solomentse, Oleksandr; Herasymenko, Tetyana; Kozhokhina, Olena; Petrova, Yuliia; Zaliskyi, Maksym

doi:10.3846/aviation.2019.11849

Cited by 29 publications

(3 citation statements)

References 17 publications

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“…The operation system is a system for managing the condition of REE and other OS elements [16]. The following content is needed for management: "when to do", "what to do", "whom to do", "with what to do".…”

Section: Methodsmentioning

confidence: 99%

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Optimization of Preventive Threshold for Conditionbased Maintenance of Radio Electronic Equipment

Соломенцев

Zaliskyi

Shcherbyna

et al. 2021

RIC

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Context. Operation costs throughout the life cycle of radio electronic equipment are very significant, which value far exceeds the initial cost of the equipment. Therefore, the up-to-date scientific and technical problem is to minimize operation costs. One of the ways to solve this problem is the introduction of statistical data processing technologies in the operation systems of radio electronic equipment. Objective. The goal of the paper is to improve the efficiency of thecondition-based maintenance with the determining parameters monitoring, which is widely used in civil aviation. Method. The solution of this problem is based on finding the functional dependence of the efficiency indicator in the form of specific operation costs on the basic parameters of radio electronic equipment and its operation system. To determine this dependence, the probability-event model is used,as well as methods of probability theory and mathematical statistics, in particular methods of statistical classification of sample sets and functional transformations of random variables. To determine the optimal level of the preventive threshold by the criterion of minimizing operation costs, the method of statistical simulation of Monte-Carlo is used. Results. Maintenance strategy with the determining parameters monitoring based on additional statistical data processing and technology of the optimal preventive threshold calculation are improved. Conclusions. The obtained results can be used during the development and modernization of operation systems of radio electronic equipment in terms of application of statistical data processing procedures. A comparative analysis of the two maintenance strategies showed that the use of additional statistical data processing might reduce specific operation costs. The proposed technology for determining the optimal preventive threshold can be extended to use during the operation of complex technical systems, in particular for those whose technical condition is associated with the values of the determining parameters.

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Section: Methodsmentioning

confidence: 99%

“…Thus, in technical systems there are technical condition deterioration processes. The model of these processes is an unsteady, random process with two or more quasistationary sections [16]. In the literature, such processes are called processes with changepoint.…”

Section: Review Of the Literaturementioning

confidence: 99%

Optimization of Preventive Threshold for Conditionbased Maintenance of Radio Electronic Equipment

Соломенцев

Zaliskyi

Shcherbyna

et al. 2021

RIC

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“…Recent research highlights that statistical data processing algorithms can be related to intelligence-based information technologies which use the principles of adaptivity, system and process approach, and robustness to improve efficiency [1][2][3][4][5][6]. Statistical data processing algorithms [7] can be used to improve the efficiency of aircraft operations given diagnostic variables and reliability parameters as initial data. In general, the trends of these variables and parameters are non-stationary random processes [8].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Maintenance Task Interval of Aircraft Systems

Okoro¹,

Zaliskyi²,

Dmytriiev³

et al. 2022

IJCNIS

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Maintenance accounts for approximately 20% of the operational cost of aircraft; a margin higher than cost associated with fuel, crew, navigation, and landing fees. A significant percentage of maintenance cost is attributed to failures of aircraft components and systems. These failures are random and provide a database which can further be analyzed to aid decision-making for maintenance optimization. In this paper, stochastic mathematical models which can potentially be used to optimize maintenance task intervals of aircraft systems are developed. The initial data for this research are diagnostic variables and reliability parameters which formed the basis for selecting the probability density function for time between failures according to the exponential and Erlang models. Based on the probability density functions, the efficiency of the maintenance processes was calculated using average operational cost per unit time. The results of the analysis were further tested using the Monte Carlo simulation method and the findings are highlighted in this paper. The simulation results compared favorably with analytical results obtained using already existing Monte Carlo techniques to about 82% accuracy. The proposed mathematical optimization models determine the optimal aircraft maintenance task interval which is cost effective while considering safety and reliability requirements; our results can also be applied during the development, design, and operation phases of aircraft systems.

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Impact of Closed Ukrainian Airspace on Global Air Transport System

Ivashchuk

Ostroumov

2023

Information Technology for Education, Science, and Technics

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Efficiency of Operational Data Processing for Radio Electronic Equipment

Cited by 29 publications

References 17 publications

Optimization of Preventive Threshold for Conditionbased Maintenance of Radio Electronic Equipment

Optimization of Preventive Threshold for Conditionbased Maintenance of Radio Electronic Equipment

Optimization of Maintenance Task Interval of Aircraft Systems

Impact of Closed Ukrainian Airspace on Global Air Transport System

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