Development of fuzzy classifier for technical condition ranking of power transformer

The work aim is to develop a fuzzy classifier for technical condition ranking of power transformer under condition of vagueness and ambiguity diagnostic information. Methodology. The fuzzy classifier developing for technical condition ranking of power transformer was based on approach of using fuzzy...

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Datum:2023
Hauptverfasser: Bardyk, E. I., Bolotnyi, N. P.
Format: Artikel
Sprache:English
Ukrainian
Veröffentlicht: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2023
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Online Zugang:http://eie.khpi.edu.ua/article/view/266234
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Назва журналу:Electrical Engineering & Electromechanics

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Electrical Engineering & Electromechanics
id eiekhpieduua-article-266234
record_format ojs
institution Electrical Engineering & Electromechanics
baseUrl_str
datestamp_date 2023-08-21T18:26:45Z
collection OJS
language English
Ukrainian
topic fuzzy classifier
electrical equipment
technical condition assessment
defect
power transformer
spellingShingle fuzzy classifier
electrical equipment
technical condition assessment
defect
power transformer
Bardyk, E. I.
Bolotnyi, N. P.
Development of fuzzy classifier for technical condition ranking of power transformer
topic_facet нечіткий класифікатор
електрообладнання
оцінка технічного стану
дефект
силовий трансформатор
fuzzy classifier
electrical equipment
technical condition assessment
defect
power transformer
format Article
author Bardyk, E. I.
Bolotnyi, N. P.
author_facet Bardyk, E. I.
Bolotnyi, N. P.
author_sort Bardyk, E. I.
title Development of fuzzy classifier for technical condition ranking of power transformer
title_short Development of fuzzy classifier for technical condition ranking of power transformer
title_full Development of fuzzy classifier for technical condition ranking of power transformer
title_fullStr Development of fuzzy classifier for technical condition ranking of power transformer
title_full_unstemmed Development of fuzzy classifier for technical condition ranking of power transformer
title_sort development of fuzzy classifier for technical condition ranking of power transformer
title_alt Розробка нечіткого класифікатора для ранжування технічного стану силового трансформатора
description The work aim is to develop a fuzzy classifier for technical condition ranking of power transformer under condition of vagueness and ambiguity diagnostic information. Methodology. The fuzzy classifier developing for technical condition ranking of power transformer was based on approach of using fuzzy set theory and optimization methods. The proposed approach for power transformer rank assessment by using a classifier was developed on the basis of Takagi-Sugeno fuzzy inference system. The input indicators choice is justified and their efficiency for classifier is evaluated by expert evaluation method. This makes it possible to formalize expert assessments regarding the development of power transformer defects. Results. The formalization of technical condition assessment of power transformer in knowledge base form, which implemented in expert system prototype for technical condition assessment, was carried out. The complex technical condition assessment for each functional unit of power transformer was determined based on expert evaluations with using the test and measurement parameters results. Originality. The considered approach to formalization of uncertainty regarding technical condition of power transformer allows building a deterministic decision-making scheme for further maintenance strategy, in which the ranking and decommissioning procedures for specific objects are implemented on the basis of objective criteria. Practical value. The proposed fuzzy classifier allows determination with a high probability degree of technical condition assessment of power transformer based on the test and measurement parameters results. Thus, an applied aspect of using the obtained scientific result is the possibility to objectively rank of power transformers park based on the identified possible defects and their development degree. This constitutes the prerequisites for determining the failure probability evaluation of power transformer at nearest observation period and emergency risk assessment in integrated electric power systems under power transformer failures.
publisher National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine
publishDate 2023
url http://eie.khpi.edu.ua/article/view/266234
work_keys_str_mv AT bardykei developmentoffuzzyclassifierfortechnicalconditionrankingofpowertransformer
AT bolotnyinp developmentoffuzzyclassifierfortechnicalconditionrankingofpowertransformer
AT bardykei rozrobkanečítkogoklasifíkatoradlâranžuvannâtehníčnogostanusilovogotransformatora
AT bolotnyinp rozrobkanečítkogoklasifíkatoradlâranžuvannâtehníčnogostanusilovogotransformatora
first_indexed 2025-07-17T11:49:31Z
last_indexed 2025-07-17T11:49:31Z
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spelling eiekhpieduua-article-2662342023-08-21T18:26:45Z Development of fuzzy classifier for technical condition ranking of power transformer Розробка нечіткого класифікатора для ранжування технічного стану силового трансформатора Bardyk, E. I. Bolotnyi, N. P. нечіткий класифікатор електрообладнання оцінка технічного стану дефект силовий трансформатор fuzzy classifier electrical equipment technical condition assessment defect power transformer The work aim is to develop a fuzzy classifier for technical condition ranking of power transformer under condition of vagueness and ambiguity diagnostic information. Methodology. The fuzzy classifier developing for technical condition ranking of power transformer was based on approach of using fuzzy set theory and optimization methods. The proposed approach for power transformer rank assessment by using a classifier was developed on the basis of Takagi-Sugeno fuzzy inference system. The input indicators choice is justified and their efficiency for classifier is evaluated by expert evaluation method. This makes it possible to formalize expert assessments regarding the development of power transformer defects. Results. The formalization of technical condition assessment of power transformer in knowledge base form, which implemented in expert system prototype for technical condition assessment, was carried out. The complex technical condition assessment for each functional unit of power transformer was determined based on expert evaluations with using the test and measurement parameters results. Originality. The considered approach to formalization of uncertainty regarding technical condition of power transformer allows building a deterministic decision-making scheme for further maintenance strategy, in which the ranking and decommissioning procedures for specific objects are implemented on the basis of objective criteria. Practical value. The proposed fuzzy classifier allows determination with a high probability degree of technical condition assessment of power transformer based on the test and measurement parameters results. Thus, an applied aspect of using the obtained scientific result is the possibility to objectively rank of power transformers park based on the identified possible defects and their development degree. This constitutes the prerequisites for determining the failure probability evaluation of power transformer at nearest observation period and emergency risk assessment in integrated electric power systems under power transformer failures. Розглянуто питання обґрунтування і розробки інтелектуальної системи для підтримки прийняття рішень щодо визначення рангу технічного стану силового трансформатора. Запропоновано підхід для встановлення рангу силового трансформатора шляхом застосування класифікатора, розробленого на базі системи нечіткого виведення Такагі – Сугено. Побудовано ієрархічні структурні схеми визначення рівнів факторів технічного стану окремих функціональних вузлів та силового трансформатора в цілому. Розроблено нечіткий класифікатор для ранжування технічного стану силового трансформатора за результатами окремих випробувань і вимірювань. Виконана адаптація нечітких моделей оцінки технічного стану шляхом навчання нечіткого класифікатора на вибірках з протоколів обстеження парку силових трансформаторів різних типів і класу напруг. Виконано комплексну оцінку технічного стану та класифікацію рангу за сукупністю контрольованих параметрів силових трансформаторів енергокомпанії. National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2023-08-21 Article Article application/pdf application/pdf http://eie.khpi.edu.ua/article/view/266234 10.20998/2074-272X.2023.5.01 Electrical Engineering & Electromechanics; No. 5 (2023); 3-13 Электротехника и Электромеханика; № 5 (2023); 3-13 Електротехніка і Електромеханіка; № 5 (2023); 3-13 2309-3404 2074-272X en uk http://eie.khpi.edu.ua/article/view/266234/279967 http://eie.khpi.edu.ua/article/view/266234/279968 Copyright (c) 2023 E. I. Bardyk, N. P. Bolotnyi http://creativecommons.org/licenses/by-nc/4.0