Data processing in exploitation system of unmanned aerial vehicles radioelectronic equipment

Соломенцев, Олександр; Zaliskyi, Maksym; Zuiev, Oleksiy; Asanov, Marlen

doi:10.1109/apuavd.2013.6705288

Cited by 30 publications

(3 citation statements)

References 2 publications

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“…Literature review gives the possibility to conclude that mathematical tools for the change-point study are methods of hypothesis testing, theory of statistical parameter estimation, methods of random variable transformation, approximation methods, deep learning and others [17]- [20]. The necessity to use these tools in the case of TRS operation is substantiated in [21]. Previous research of this article authors is associated with the study of procedures to detect technical condition deterioration using: 1) posteriori analysis approach with known in advance sample size [22]; 2) Neyman-Pearson criterion and techniques of threshold calculation according to Bellman approach with iterative accumulation of sample size [23]; 3) sequential analysis by A. Wald [24].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Technical Condition Monitoring for Telecommunication and Radioelectronic Systems with Redundancy

Zaliskyi

Соломенцев

Zuiev

et al. 2022

Electrical, Control and Communication Engineering

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The telecommunication and radioelectronic systems with redundancy are widely used in different branches of human activity. To provide the necessary reliability level of equipment, the operation system is utilized. That system contains intended use, maintenance, repair, technical condition monitoring, and others. The damages, faults and failures are usually observed during the lifecycle of telecommunication and radioelectronic systems. They can lead to deterioration of equipment technical condition. The deterioration of technical condition can be detected during observation of diagnostic variable and reliability parameter. This article concentrates on the synthesis and analysis of statistical data processing procedure for deterioration detection while operating telecommunication and radioelectronic systems with redundancy. For the purpose of reliability estimation based on different redundancy methods, statistical data processing procedure synthesis was carried out using multiple hypothesis testing and detection criterion. The analysis problem was solved using Monte- Carlo simulation method, which allowed constructing operating characteristics. The obtained results can be used in the process of design and improvement of operation systems for telecommunication and radioelectronic equipment.

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Technical Condition Monitoring for Telecommunication and Radioelectronic Systems with Redundancy

Zaliskyi

Соломенцев

Zuiev

et al. 2022

Electrical, Control and Communication Engineering

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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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“…The control is ensured based on formation and implementation of corrective and preventive actions. These actions are formed according to the results of statistical data processing [2].…”

Section: Introductionmentioning

confidence: 99%

Method for Changepoint Detection With Sample Size Accumulation During Radio Equipment Operation

Соломенцев

Zaliskyi

Herasymenko

et al. 2020

Electrical, Control and Communication Engineering

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The operation system determines the efficiency of the intended use of radio equipment. The operation system includes radio equipment, documentation, operational resources, personnel, processes, data processing algorithms, etc. The operation process is associated with conditions of priori uncertainty of models, parameters, external factors, etc. The main element for monitoring is technical condition of radio equipment. In a general case, this condition can deteriorate. The problems of technical condition deterioration analysis can be considered in terms of changepoint study. The present paper concentrates on the problem of synthesis and analysis of method for changepoint detection during radio equipment operation. The detection algorithm is constructed based on Neyman–Pearson criterion with sample size accumulation. During algorithm synthesis the thresholds were calculated according to Bellman’s approach. The problem of synthesis and analysis was solved by two methods: analytically and using statistical modelling. The efficiency measures for this algorithm are the probability of correct detection and mean time of decision making. The proposed algorithm has advantages in mean time of decision making compared with CUSUM detection method.

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Data processing in exploitation system of unmanned aerial vehicles radioelectronic equipment

Cited by 30 publications

References 2 publications

Technical Condition Monitoring for Telecommunication and Radioelectronic Systems with Redundancy

Technical Condition Monitoring for Telecommunication and Radioelectronic Systems with Redundancy

A Method of Accuracy Increment Using Segmented Regression

Method for Changepoint Detection With Sample Size Accumulation During Radio Equipment Operation

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