{"title":"Fuzzy inference algorithms for power equipment state assessment","authors":"A. Khalyasmaa, S. Dmitriev","doi":"10.1109/PQ.2016.7724122","DOIUrl":null,"url":null,"abstract":"The decision support system model for electrical grid equipment technical maintenance and repair cycles correction as well as equipment reliability improvement on the basis of its technical state analysis is presented in the paper. The issues concerning the use of different neuro fuzzy inference algorithms and their impact on decision support systems operation for electrical grid equipment effective operation are also considered in the paper.","PeriodicalId":6470,"journal":{"name":"2016 Electric Power Quality and Supply Reliability (PQ)","volume":"5 1","pages":"249-254"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Electric Power Quality and Supply Reliability (PQ)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PQ.2016.7724122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The decision support system model for electrical grid equipment technical maintenance and repair cycles correction as well as equipment reliability improvement on the basis of its technical state analysis is presented in the paper. The issues concerning the use of different neuro fuzzy inference algorithms and their impact on decision support systems operation for electrical grid equipment effective operation are also considered in the paper.
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