{"id":"https://openalex.org/W2038289905","doi":"https://doi.org/10.1109/icmlc.2010.5581097","title":"Multi-agent and Bayesian network applied in transformer faults diagnosis","display_name":"Multi-agent and Bayesian network applied in transformer faults diagnosis","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2038289905","doi":"https://doi.org/10.1109/icmlc.2010.5581097","mag":"2038289905"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2010.5581097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5581097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-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/A5044107601","display_name":"Wenqing Zhao","orcid":"https://orcid.org/0000-0001-6240-608X"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-Qing Zhao","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Baoding, Hebei, China","School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, Hebei Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Baoding, Hebei, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, Hebei Province, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101700664","display_name":"Shenglong Zhang","orcid":"https://orcid.org/0000-0002-9348-4395"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng-Long Zhang","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Baoding, Hebei, China","School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, Hebei Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Baoding, Hebei, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, Hebei Province, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103241552","display_name":"Dongxiao Niu","orcid":"https://orcid.org/0000-0003-4612-8432"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong-Xiao Niu","raw_affiliation_strings":["School of Business Administration, North China Electric Power University, Baoding, Hebei, China","School of Business Administration,North China Electric Power University,Baoding 071003,Hebei Province,China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business Administration, North China Electric Power University, Baoding, Hebei, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"School of Business Administration,North China Electric Power University,Baoding 071003,Hebei Province,China)","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82971228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"20","issue":null,"first_page":"43","last_page":"46"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9484999775886536,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9484999775886536,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9297000169754028,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9215999841690063,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/transformer","display_name":"Transformer","score":0.711401104927063},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.6337988376617432},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.6036295294761658},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5667797327041626},{"id":"https://openalex.org/keywords/dissolved-gas-analysis","display_name":"Dissolved gas analysis","score":0.5530883073806763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5464779138565063},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4151160418987274},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3519574701786041},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3091112971305847},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.17526522278785706},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.13951608538627625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08390152454376221},{"id":"https://openalex.org/keywords/transformer-oil","display_name":"Transformer oil","score":0.079766184091568}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.711401104927063},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.6337988376617432},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.6036295294761658},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5667797327041626},{"id":"https://openalex.org/C81818771","wikidata":"https://www.wikidata.org/wiki/Q787515","display_name":"Dissolved gas analysis","level":5,"score":0.5530883073806763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5464779138565063},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4151160418987274},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3519574701786041},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3091112971305847},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.17526522278785706},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.13951608538627625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08390152454376221},{"id":"https://openalex.org/C181335627","wikidata":"https://www.wikidata.org/wiki/Q901418","display_name":"Transformer oil","level":4,"score":0.079766184091568},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/icmlc.2010.5581097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5581097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2348956232","https://openalex.org/W2357342982","https://openalex.org/W2377741839","https://openalex.org/W2380876484"],"related_works":["https://openalex.org/W3034924094","https://openalex.org/W3094954546","https://openalex.org/W1488708774","https://openalex.org/W1982811510","https://openalex.org/W4391100477","https://openalex.org/W2402189625","https://openalex.org/W4327779705","https://openalex.org/W4310560702","https://openalex.org/W1513698804","https://openalex.org/W1998819532"],"abstract_inverted_index":{"Once":[0],"failures":[1],"for":[2,32,43],"large":[3],"transformer":[4,34,45,70,78,91],"power":[5,44,54,90],"occur,":[6],"which":[7,49],"will":[8,50],"result":[9,117],"in":[10,35,68],"catastrophic":[11],"economic":[12,56,59],"losses":[13],"and":[14,23,28,41,60,87,102,115],"social":[15,61],"impact.":[16],"Therefore,":[17],"it":[18],"is":[19,71],"necessary":[20],"to":[21,37,65,73,81],"design":[22],"apply":[24],"a":[25,69,110],"state":[26],"monitoring":[27],"fault":[29,92],"diagnosis":[30,75,93,113],"system":[31,112],"large-scale":[33],"order":[36],"improve":[38],"the":[39,53,74,77,82,85,95,98,103,116,122,125],"reliability":[40],"accuracy":[42],"during":[46],"its":[47],"running,":[48],"benefit":[51],"increasing":[52],"enterprise":[55],"performance,":[57],"promoting":[58],"development":[62],"The":[63],"analysis":[64],"dissolved":[66],"gases":[67],"useful":[72],"of":[76,84,89,97,105,118,124],"faults.":[79],"Due":[80],"shortcomings":[83],"randomness":[86],"uncertainty":[88],"data,":[94],"benefits":[96],"Bayesian":[99],"network":[100],"classifiers":[101],"features":[104],"multi-agent,":[106],"this":[107],"paper":[108],"introduces":[109],"multi-agent":[111],"model,":[114],"practical":[119],"sample":[120],"verifies":[121],"effectiveness":[123],"proposed":[126],"model.":[127]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}