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Analysis of Mathematical Methods of Integral Expert Evaluation for Predictive Diagnostics of Technical Systems Based on the Kemeny Median

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Заглавие Analysis of Mathematical Methods of Integral Expert Evaluation for Predictive Diagnostics of Technical Systems Based on the Kemeny Median
 
Автор Manusov, V.
Kalanakova, A.
Ahyoev, J.
Zicmane, I.
Praveenkumar, S.
Safaraliev, M.
 
Тематика ANALYTIC HIERARCHY PROCESS
CONSISTENCY
CURRENT DIAGNOSTICS
EXPERT EVALUATION
KEMENY MEDIAN
 
Описание At present, diagnostics of the current technical condition of high-voltage power equipment in power systems have become more important. This allows the estimation of the real technical condition of power equipment more accurately with its removal into repair based on the results of the diagnostics. This paper presents the comparative analysis of expert evaluations with the use of the arithmetical mean and median values of expert evaluations. In this case, individual expert opinions, influenced by a level of competence, correspond to each other in a different manner, depending on the applied approach. As the comparison of the consistency of expert opinions is the basis for decision-making, it is recommended to make a decision on the technical condition using median estimations because these estimations are less subjected to distortions from single outliers of judgments. This provides more reliable information for making key decisions. Three approaches are considered in this paper: the method of arithmetical mean estimations, the method of median estimations based on the Kemeny median method, and the analytic hierarchy process of Saaty. The considered methods allow decisions on power equipment operation to be made very quickly; namely, if the power equipment is in an operable state and may remain operated, or it has considerable defects and should be removed from operation for routine maintenance, or it has reached the final technical state and needs to be removed from operation. © 2023 by the authors.
Ministry of Education and Science of the Russian Federation, Minobrnauka: FEUZ-2022-0031
The research received financial assistance from the research funding from the Ministry of Science and Higher Education of the Russian Federation (Ural Federal University Program of Development within the Priority-2030 Program): FEUZ-2022-0031.
 
Дата 2024-04-05T16:16:01Z
2024-04-05T16:16:01Z
2023
 
Тип Article
Journal article (info:eu-repo/semantics/article)
|info:eu-repo/semantics/publishedVersion
 
Идентификатор Manusov, V, Kalanakova, A, Ahyoev, J, Zicmane, I, Praveenkumar, S & Safaraliev, M 2023, 'Analysis of Mathematical Methods of Integral Expert Evaluation for Predictive Diagnostics of Technical Systems Based on the Kemeny Median', Inventions, Том. 8, № 1, 28. https://doi.org/10.3390/inventions8010028
Manusov, V., Kalanakova, A., Ahyoev, J., Zicmane, I., Praveenkumar, S., & Safaraliev, M. (2023). Analysis of Mathematical Methods of Integral Expert Evaluation for Predictive Diagnostics of Technical Systems Based on the Kemeny Median. Inventions, 8(1), [28]. https://doi.org/10.3390/inventions8010028
2411-5134
Final
All Open Access, Gold
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148729521&doi=10.3390%2finventions8010028&partnerID=40&md5=fc78c3896a34a665bfe218cd9f7108b3
https://www.mdpi.com/2411-5134/8/1/28/pdf?version=1674128172
http://elar.urfu.ru/handle/10995/130220
10.3390/inventions8010028
85148729521
000939108700001
 
Язык en
 
Права Open access (info:eu-repo/semantics/openAccess)
cc-by
https://creativecommons.org/licenses/by/4.0/
 
Формат application/pdf
 
Издатель MDPI
 
Источник Inventions
Inventions