Radioelectronic equipment availability factor models

Соломенцев, Олександр; Zaliskyi, Maksym; Zuiev, Oleksiy

doi:10.1109/sps.2013.6623616

Cited by 25 publications

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“…to build the mathematical model for statistical parameters while designing control systems [53], to make decisions based on statistical information processing [54,55], and others; (9) Equipment maintenance: to build the mathematical model for diagnostic variable trends [56], and to determine the uncertainty level while conducting condition monitoring and maintenance preference analysis [57,58]; (10) Reliability analysis: to describe the behavior of reliability parameters [59,60], to simulate statistically nonstationary random processes of failures occurrence [61,62], to describe the processes of technical condition deterioration in the trend of failure rate [63,64], and others.…”

Section: Literature Review and Statement Of The Problemmentioning

confidence: 99%

A Method of Accuracy Increment Using Segmented Regression

et al. 2022

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The main purpose of mathematical model building while employing statistical data analysis is to obtain high accuracy of approximation within the range of observed data and sufficient predictive properties. One of the methods for creating mathematical models is to use the techniques of regression analysis. Regression analysis usually applies single polynomial functions of higher order as approximating curves. Such an approach provides high accuracy; however, in many cases, it does not match the geometrical structure of the observed data, which results in unsatisfactory predictive properties. Another approach is associated with the use of segmented functions as approximating curves. Such an approach has the problem of estimating the coordinates of the breakpoint between adjacent segments. This article proposes a new method for determining abscissas of the breakpoint for segmented regression, minimizing the standard deviation based on multidimensional paraboloid usage. The proposed method is explained by calculation examples obtained using statistical simulation and real data observation.

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Section: Literature Review and Statement Of The Problemmentioning

confidence: 99%

A Method of Accuracy Increment Using Segmented Regression

et al. 2022

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“…In the interval of observation, we have a periods of time at which times between failures are characterized by the probability density function (PDF) 1 ( ) f t without deterioration in the technical condition of REE, and the function 2 ( ) f t -in case of deterioration. Analysis of the literature shows that the most common PDF for REE times between failures is the exponential distribution (Solomentsev et al, 2013). The exponential distribution usage allows to obtain relatively simple mathematical formulas, which can be applied during engineering calculations.…”

Section: Synthesis Of Algorithm For Non-stationary Random Process Promentioning

confidence: 99%

Efficiency of Operational Data Processing for Radio Electronic Equipment

et al. 2020

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The paper deals with the statistical data processing algorithms in operation system of radio electronic equipment. The main purpose is analysis of data processing algorithm efficiency according to the analytical calculations and simulation results. During radio electronic equipment operation failures are possible. These failures affect on the equipment’s technical condition that can deteriorate. In case of condition-based maintenance, it is necessary to detect the time moment of deterioration beginning. Therefore, in this paper the deterioration detection algorithm was developed according to Neyman-Pearson criterion with a fixed sample size. The initial data are times between failures of radio electronic equipment, and these data can be identified by the exponential probability density function. The step-function model was chosen for failure rate change description. To estimate efficiency the operating characteristic was calculated. The simulation based on Monte-Carlo method confirmed the correctness of theoretical calculations.

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Cooperative Navigation of Personal Electronic Devices Formation Movement

Ostroumov

Kuzmenko

2023

Lecture Notes in Networks and Systems

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Radioelectronic equipment availability factor models

Cited by 25 publications

References 1 publication

A Method of Accuracy Increment Using Segmented Regression

A Method of Accuracy Increment Using Segmented Regression

Efficiency of Operational Data Processing for Radio Electronic Equipment

Cooperative Navigation of Personal Electronic Devices Formation Movement

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