{"id":"https://openalex.org/W2521845412","doi":"https://doi.org/10.1109/tsg.2016.2562123","title":"A Novel Association Rule Mining Method of Big Data for Power Transformers State Parameters Based on Probabilistic Graph Model","display_name":"A Novel Association Rule Mining Method of Big Data for Power Transformers State Parameters Based on Probabilistic Graph Model","publication_year":2016,"publication_date":"2016-05-03","ids":{"openalex":"https://openalex.org/W2521845412","doi":"https://doi.org/10.1109/tsg.2016.2562123","mag":"2521845412"},"language":"en","primary_location":{"id":"doi:10.1109/tsg.2016.2562123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2016.2562123","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Smart Grid","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111959438","display_name":"Gehao Sheng","orcid":"https://orcid.org/0000-0002-9454-5284"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gehao Sheng","raw_affiliation_strings":["Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102815994","display_name":"Huijuan Hou","orcid":"https://orcid.org/0000-0001-9474-8551"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijuan Hou","raw_affiliation_strings":["Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9474-8551","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038426348","display_name":"Xiuchen Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuchen Jiang","raw_affiliation_strings":["Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100394289","display_name":"Yufeng Chen","orcid":"https://orcid.org/0000-0001-6545-5944"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yufeng Chen","raw_affiliation_strings":["State Grid Shandong Electric Power Research Institute, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Shandong Electric Power Research Institute, Jinan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.2092,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.98752368,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"9","issue":"2","first_page":"695","last_page":"702"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.83085697889328},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.7291402220726013},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6975213885307312},{"id":"https://openalex.org/keywords/apriori-algorithm","display_name":"Apriori algorithm","score":0.6841265559196472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5855342149734497},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.46738091111183167},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4420093297958374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3299137353897095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24968191981315613},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17960038781166077}],"concepts":[{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.83085697889328},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7291402220726013},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6975213885307312},{"id":"https://openalex.org/C81440476","wikidata":"https://www.wikidata.org/wiki/Q513511","display_name":"Apriori algorithm","level":3,"score":0.6841265559196472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5855342149734497},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.46738091111183167},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4420093297958374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3299137353897095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24968191981315613},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17960038781166077},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsg.2016.2562123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2016.2562123","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Smart Grid","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2323155871","display_name":null,"funder_award_id":"2015M581614","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3092172294","display_name":null,"funder_award_id":"51477100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W190463823","https://openalex.org/W1491948658","https://openalex.org/W1506285740","https://openalex.org/W1511986666","https://openalex.org/W1571035772","https://openalex.org/W1993144120","https://openalex.org/W2025718900","https://openalex.org/W2043032216","https://openalex.org/W2049988610","https://openalex.org/W2080104526","https://openalex.org/W2108457969","https://openalex.org/W2111944939","https://openalex.org/W2120452095","https://openalex.org/W2126749794","https://openalex.org/W2132858010","https://openalex.org/W2139619755","https://openalex.org/W2147170439","https://openalex.org/W2148714802","https://openalex.org/W2166559705","https://openalex.org/W4232896595","https://openalex.org/W6630198464","https://openalex.org/W6676223305"],"related_works":["https://openalex.org/W2390051172","https://openalex.org/W2297208791","https://openalex.org/W2367209111","https://openalex.org/W2351000793","https://openalex.org/W2366790077","https://openalex.org/W3012205960","https://openalex.org/W2348276166","https://openalex.org/W3034345083","https://openalex.org/W2607264580","https://openalex.org/W1483188779"],"abstract_inverted_index":{"The":[0,113,142,169],"correlative":[1],"change":[2],"analysis":[3,24],"of":[4,18,54,106,110,131,145,165,175,183,190],"state":[5,35,60,147,167],"parameters":[6,61,148],"can":[7,42,123],"provide":[8],"powerful":[9],"technical":[10],"supports":[11],"for":[12,58],"safe,":[13],"reliable,":[14],"and":[15,37,46,70,152,188],"high-efficient":[16],"operation":[17],"the":[19,23,39,67,77,81,86,107,120,139,154,162,173,176,181,186,191],"power":[20],"transformers.":[21],"However,":[22],"methods":[25],"are":[26,84,158],"primarily":[27],"based":[28],"on":[29],"a":[30,33,51],"single":[31,166],"or":[32],"few":[34],"parameters,":[36],"hence":[38],"potential":[40],"failures":[41],"hardly":[43],"be":[44,92,124],"found":[45],"predicted.":[47],"In":[48,74],"this":[49,75],"paper,":[50],"data-driven":[52],"method":[53,76,99,193],"association":[55,104,117,143,156,178,195],"rule":[56,196],"mining":[57,103,197],"transformer":[59],"has":[62,95,198],"been":[63,96,150,199],"proposed":[64,140,192],"by":[65,138],"combining":[66],"Apriori":[68],"algorithm":[69],"probabilistic":[71],"graphical":[72],"model.":[73],"disadvantage":[78],"that":[79,116,172],"whenever":[80],"frequent":[82],"items":[83,89],"searched":[85],"whole":[87],"data":[88,130],"have":[90,149],"to":[91],"scanned":[93],"cyclically":[94],"overcame.":[97],"This":[98],"is":[100,136],"used":[101,159],"in":[102,160,194],"rules":[105,118,144,157,179],"numerical":[108,121],"solutions":[109,122],"differential":[111],"equations.":[112],"result":[114],"indicates":[115],"among":[119],"accurately":[125],"mined.":[126],"Finally,":[127],"practical":[128],"measured":[129],"five":[132],"500":[133],"kV":[134],"transformers":[135],"analyzed":[137],"method.":[141],"various":[146],"excavated,":[151],"then":[153],"mined":[155,177],"modifying":[161],"prediction":[163],"results":[164,170],"parameters.":[168],"indicate":[171],"application":[174],"improves":[180],"accuracy":[182],"prediction.":[184],"Therefore,":[185],"effectiveness":[187],"feasibility":[189],"proved.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
