{"title":"用层次分析法诊断现代变压器设备的技术状态","authors":"V. Manusov, D. V. Orlov, V. V. Frolova","doi":"10.1109/EEEIC.2018.8493904","DOIUrl":null,"url":null,"abstract":"The new method of expert diagnostics of technical state for transformer power equipment at substations of power systems and facilities is proposed. It is based on the analytic hierarchy process. It was proved that it is possible to make a plausible prediction on the reasons of failures and faults for power equipment using some symptoms and pairwise comparisons of expert evaluations. The paper focuses on diagnostics of the current technical state of transformers with high temperature superconducting windings (HTS transformers). Reliability of the results of the proposed method is validated by calculations that demonstrate the adequacy of the model applied to HTS transformer. The new mathematical model developed using fuzzy relations of fault symptoms includes elements for predicting possible failures of power equipment, that can be used as a subsystem of on-line diagnostics. As a result, it allows implementing the HTS transformers as an innovative solution for electric power industry.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Diagnostics of Technical State of Modern Transformer Equipment Using the Analytic Hierarchy Process\",\"authors\":\"V. Manusov, D. V. Orlov, V. V. Frolova\",\"doi\":\"10.1109/EEEIC.2018.8493904\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The new method of expert diagnostics of technical state for transformer power equipment at substations of power systems and facilities is proposed. It is based on the analytic hierarchy process. It was proved that it is possible to make a plausible prediction on the reasons of failures and faults for power equipment using some symptoms and pairwise comparisons of expert evaluations. The paper focuses on diagnostics of the current technical state of transformers with high temperature superconducting windings (HTS transformers). Reliability of the results of the proposed method is validated by calculations that demonstrate the adequacy of the model applied to HTS transformer. The new mathematical model developed using fuzzy relations of fault symptoms includes elements for predicting possible failures of power equipment, that can be used as a subsystem of on-line diagnostics. As a result, it allows implementing the HTS transformers as an innovative solution for electric power industry.\",\"PeriodicalId\":6563,\"journal\":{\"name\":\"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)\",\"volume\":\"1 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EEEIC.2018.8493904\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEEIC.2018.8493904","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Diagnostics of Technical State of Modern Transformer Equipment Using the Analytic Hierarchy Process
The new method of expert diagnostics of technical state for transformer power equipment at substations of power systems and facilities is proposed. It is based on the analytic hierarchy process. It was proved that it is possible to make a plausible prediction on the reasons of failures and faults for power equipment using some symptoms and pairwise comparisons of expert evaluations. The paper focuses on diagnostics of the current technical state of transformers with high temperature superconducting windings (HTS transformers). Reliability of the results of the proposed method is validated by calculations that demonstrate the adequacy of the model applied to HTS transformer. The new mathematical model developed using fuzzy relations of fault symptoms includes elements for predicting possible failures of power equipment, that can be used as a subsystem of on-line diagnostics. As a result, it allows implementing the HTS transformers as an innovative solution for electric power industry.