{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:35:40Z","timestamp":1777703740324,"version":"3.51.4"},"reference-count":19,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2018,7,4]],"date-time":"2018-07-04T00:00:00Z","timestamp":1530662400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2018,7,27]]},"abstract":"<jats:p>This paper combines the rough set with graph theory to deal with the problems of power transformer fault diagnosis, by the graph of decision table for fault diagnosis and its partitioned adjacency matrix. In the process, the new three-ratio decision table of fault diagnosis based on graph theory and rough set is got without conflict and missing, to derive the new fault diagnosis rules. These new rules got by the partitioned core attribute of this graph can expand the fault diagnosis range of guideline IEC-60599, and improve the defect problem of three-radio fault diagnosis method. The results of experiment based on the 62 fault samples of power transformers prove the effectiveness of the new method.<\/jats:p>","DOI":"10.3233\/jifs-169582","type":"journal-article","created":{"date-parts":[[2018,7,6]],"date-time":"2018-07-06T11:58:04Z","timestamp":1530878284000},"page":"223-230","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":14,"title":["Transformer fault diagnosis method based on graph theory and rough set"],"prefix":"10.1177","volume":"35","author":[{"given":"Peng","family":"Lu","sequence":"first","affiliation":[{"name":"College of Information, Shanghai Ocean University, Shanghai, China"}]},{"given":"Wenhui","family":"Li","sequence":"additional","affiliation":[{"name":"Audio Visual Education Center, Shanghai Maritime University, Shanghai, China"}]},{"given":"Dongmei","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Information, Shanghai Ocean University, Shanghai, China"}]}],"member":"179","published-online":{"date-parts":[[2018,7,4]]},"reference":[{"issue":"22","key":"e_1_3_1_2_2","first-page":"78","article-title":"Transmission grid fault diagnosis based on reasoning chain","volume":"38","author":"Nan Z.","year":"2014","unstructured":"NanZ., LinF., JingfeiY., Transmission grid fault diagnosis based on reasoning chain, Automation of Electric Power Systems38(22) (2014), 78\u201384.","journal-title":"Automation of Electric Power Systems"},{"issue":"24","key":"e_1_3_1_3_2","first-page":"4129","article-title":"An improved three-ratiomethod for transformer fault diagnosis using B-spline theory[J]","volume":"34","author":"Weihua Z.","year":"2014","unstructured":"WeihuaZ., JinshaY., TiefengZ., An improved three-ratiomethod for transformer fault diagnosis using B-spline theory[J], Proceedings of the CSEE34(24) (2014), 4129\u20134136.","journal-title":"Proceedings of the CSEE"},{"issue":"2","key":"e_1_3_1_4_2","first-page":"64","article-title":"Application of DGA to transformer fault diagnosis","volume":"48","author":"Zhiyong C.","year":"2011","unstructured":"ZhiyongC. and ZhongjieL., Application of DGA to transformer fault diagnosis, Transformer48(2) (2011), 64\u201366.","journal-title":"Transformer"},{"key":"e_1_3_1_5_2","unstructured":"IEC-599 International Electro technical Commission Internation for the analysis in transformer and other on-filled electrical equipment in service."},{"key":"e_1_3_1_6_2","unstructured":"YonghongC. 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