{"title":"基于关联规则集对分析理论的变压器状态评价方法研究","authors":"Shanyuan Wang, Donglin Cai, Zhonghong Chen, Menglong Bai, Hongyu Ouyang, Xiaoyang Lai, Weichao Hu, Changke Chen, Yangchen Shi","doi":"10.29354/diag/174869","DOIUrl":null,"url":null,"abstract":"1. Tang W, Niu Z, Zhao B. Research and application of data-driven artificial intelligence technology for condition analysis of power equipment. High Voltage Engineering 2020; 46(09): 2985-2999. Google Scholar","PeriodicalId":52164,"journal":{"name":"Diagnostyka","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on transformer condition evaluation method based on association rule set pair analysis theory\",\"authors\":\"Shanyuan Wang, Donglin Cai, Zhonghong Chen, Menglong Bai, Hongyu Ouyang, Xiaoyang Lai, Weichao Hu, Changke Chen, Yangchen Shi\",\"doi\":\"10.29354/diag/174869\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"1. Tang W, Niu Z, Zhao B. Research and application of data-driven artificial intelligence technology for condition analysis of power equipment. High Voltage Engineering 2020; 46(09): 2985-2999. Google Scholar\",\"PeriodicalId\":52164,\"journal\":{\"name\":\"Diagnostyka\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Diagnostyka\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29354/diag/174869\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diagnostyka","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29354/diag/174869","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
Research on transformer condition evaluation method based on association rule set pair analysis theory
1. Tang W, Niu Z, Zhao B. Research and application of data-driven artificial intelligence technology for condition analysis of power equipment. High Voltage Engineering 2020; 46(09): 2985-2999. Google Scholar
期刊介绍：
Diagnostyka – is a quarterly published by the Polish Society of Technical Diagnostics (PSTD). The journal “Diagnostyka” was established by the decision of the Presidium of Main Board of the Polish Society of Technical Diagnostics on August, 21st 2000 and replaced published since 1990 reference book of the PSTD named “Diagnosta”. In the years 2000-2003 there were issued annually two numbers of the journal, since 2004 “Diagnostyka” is issued as a quarterly. Research areas covered include: -theory of the technical diagnostics, -experimental diagnostic research of processes, objects and systems, -analytical, symptom and simulation models of technical objects, -algorithms, methods and devices for diagnosing, prognosis and genesis of condition of technical objects, -methods for detection, localization and identification of damages of technical objects, -artificial intelligence in diagnostics, neural nets, fuzzy systems, genetic algorithms, expert systems, -application of technical diagnostics, -diagnostic issues in mechanical and civil engineering, -medical and biological diagnostics with signal processing application, -structural health monitoring, -machines, -noise and vibration, -analysis of technical and civil systems.
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