{"title":"Improved Power Transformer Condition Assessment under Uncertainty using Fuzzy Logic","authors":"E. I. Bardyk, N. Bolotnyi","doi":"10.1109/ESS57819.2022.9969327","DOIUrl":null,"url":null,"abstract":"There is a problem of transition to equipment maintenance according to its technical condition. Solving this problem should contributed to more efficient management of power companies resources and increase their competitiveness. This paper proposes an approach to quantitative assessment of technical condition for power transformer using an integrated technical deterioration index. The proposed approach is based on fuzzy logic and fuzzy set theory. This allows you to formalize expert assessments of defect development in power transformer. The formalization of technical condition evaluation for power transformer in knowledge base form is implemented in expert system prototype. The integrated technical deterioration index of power transformer was determined based on test results of technical condition parameters for functional units of power transformer using expert judgments. The considered approach to uncertainty formalization about technical condition of power transformer allows constructing the deterministic scheme of decision-making on further service strategy. The procedures of ranking, out of service of specific objects are implemented based on objective criteria in this service strategy of power transformer.","PeriodicalId":432063,"journal":{"name":"2022 IEEE 8th International Conference on Energy Smart Systems (ESS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 8th International Conference on Energy Smart Systems (ESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESS57819.2022.9969327","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
There is a problem of transition to equipment maintenance according to its technical condition. Solving this problem should contributed to more efficient management of power companies resources and increase their competitiveness. This paper proposes an approach to quantitative assessment of technical condition for power transformer using an integrated technical deterioration index. The proposed approach is based on fuzzy logic and fuzzy set theory. This allows you to formalize expert assessments of defect development in power transformer. The formalization of technical condition evaluation for power transformer in knowledge base form is implemented in expert system prototype. The integrated technical deterioration index of power transformer was determined based on test results of technical condition parameters for functional units of power transformer using expert judgments. The considered approach to uncertainty formalization about technical condition of power transformer allows constructing the deterministic scheme of decision-making on further service strategy. The procedures of ranking, out of service of specific objects are implemented based on objective criteria in this service strategy of power transformer.