{"id":"https://openalex.org/W2246191327","doi":"https://doi.org/10.1109/isgt-asia.2015.7387109","title":"Power transformer fault classification by combining genetic reduction with optimized multilayer support vector machine","display_name":"Power transformer fault classification by combining genetic reduction with optimized multilayer support vector machine","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2246191327","doi":"https://doi.org/10.1109/isgt-asia.2015.7387109","mag":"2246191327"},"language":"en","primary_location":{"id":"doi:10.1109/isgt-asia.2015.7387109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgt-asia.2015.7387109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)","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/A5038801142","display_name":"H. Z. Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"H. Z. Li","raw_affiliation_strings":["Foshan Power Supply Bureau of Guangdong Province, Foshan, China"],"affiliations":[{"raw_affiliation_string":"Foshan Power Supply Bureau of Guangdong Province, Foshan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007571707","display_name":"S. X. Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. X. Chen","raw_affiliation_strings":["Foshan Power Supply Bureau of Guangdong Province, Foshan, China"],"affiliations":[{"raw_affiliation_string":"Foshan Power Supply Bureau of Guangdong Province, Foshan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014558899","display_name":"Tong Qian","orcid":"https://orcid.org/0000-0001-7728-6615"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"T. Qian","raw_affiliation_strings":["School of Electric Power Engineering, South China University of Technology Guangzhou, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electric Power Engineering, South China University of Technology Guangzhou, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016974124","display_name":"Wenhu Tang","orcid":"https://orcid.org/0009-0005-5786-4568"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"W. H. Tang","raw_affiliation_strings":["School of Electric Power Engineering, South China University of Technology Guangzhou, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electric Power Engineering, South China University of Technology Guangzhou, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020335809","display_name":"Qinyu Wu","orcid":"https://orcid.org/0009-0002-9275-715X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Q. H. Wu","raw_affiliation_strings":["South China University of Technology, Guangzhou, Guangdong, CN"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, Guangdong, CN","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5038801142"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1973,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60163132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9930999875068665,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9764999747276306,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7504111528396606},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7460542917251587},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6492103338241577},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.6459781527519226},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.583777666091919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.581229031085968},{"id":"https://openalex.org/keywords/dissolved-gas-analysis","display_name":"Dissolved gas analysis","score":0.5363200306892395},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.5356060862541199},{"id":"https://openalex.org/keywords/transformer-oil","display_name":"Transformer oil","score":0.5216072797775269},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5027172565460205},{"id":"https://openalex.org/keywords/power-grid","display_name":"Power grid","score":0.46711477637290955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4361911416053772},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4357941150665283},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4156544804573059},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.41158610582351685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3588995039463043},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34066444635391235},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.27770572900772095},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.24403315782546997},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16657555103302002}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7504111528396606},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7460542917251587},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6492103338241577},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.6459781527519226},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.583777666091919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.581229031085968},{"id":"https://openalex.org/C81818771","wikidata":"https://www.wikidata.org/wiki/Q787515","display_name":"Dissolved gas analysis","level":5,"score":0.5363200306892395},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.5356060862541199},{"id":"https://openalex.org/C181335627","wikidata":"https://www.wikidata.org/wiki/Q901418","display_name":"Transformer oil","level":4,"score":0.5216072797775269},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5027172565460205},{"id":"https://openalex.org/C2983254600","wikidata":"https://www.wikidata.org/wiki/Q1096907","display_name":"Power grid","level":3,"score":0.46711477637290955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4361911416053772},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4357941150665283},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4156544804573059},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.41158610582351685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3588995039463043},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34066444635391235},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27770572900772095},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.24403315782546997},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16657555103302002},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","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},{"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isgt-asia.2015.7387109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgt-asia.2015.7387109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)","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":12,"referenced_works":["https://openalex.org/W1574496672","https://openalex.org/W1991754220","https://openalex.org/W1997362234","https://openalex.org/W2020689007","https://openalex.org/W2028337732","https://openalex.org/W2032866036","https://openalex.org/W2084575229","https://openalex.org/W2148603752","https://openalex.org/W2153846944","https://openalex.org/W2163214087","https://openalex.org/W4255833381","https://openalex.org/W4392389792"],"related_works":["https://openalex.org/W1968384475","https://openalex.org/W2515475704","https://openalex.org/W1874058429","https://openalex.org/W2584098600","https://openalex.org/W2318672239","https://openalex.org/W2592105840","https://openalex.org/W1977856360","https://openalex.org/W3216509703","https://openalex.org/W4205574658","https://openalex.org/W2373627802"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"novel":[4],"fault":[5,42,50],"diagnosis":[6],"model":[7,18,92],"for":[8],"oil-immersed":[9],"power":[10],"transformers":[11],"based":[12,34],"on":[13,21,35],"dissolved":[14],"gas":[15],"analysis.":[16],"The":[17],"is":[19,38,93],"rooted":[20],"the":[22,87,90],"theories":[23],"of":[24,48,74,89],"rough":[25],"set":[26],"and":[27,65,82],"support":[28,75],"vector":[29,76],"machine.":[30,77],"A":[31],"fitness":[32],"function":[33],"attribute":[36],"dependence":[37],"developed":[39],"to":[40,44,71],"identify":[41],"features":[43],"improve":[45],"classification":[46,59],"accuracy":[47],"transformer":[49],"samples":[51],"by":[52],"using":[53],"Genetic":[54],"Algorithm.":[55],"To":[56],"get":[57],"improved":[58],"performance,":[60],"grid":[61],"search,":[62],"genetic":[63],"algorithm":[64],"particle":[66],"swarm":[67],"optimization":[68],"are":[69],"applied":[70],"search":[72],"parameters":[73],"Compared":[78],"with":[79],"modified":[80],"Rogers":[81],"back":[83],"propagation":[84],"neural":[85],"network,":[86],"superiority":[88],"established":[91],"verified.":[94]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}