{"id":"https://openalex.org/W4401168024","doi":"https://doi.org/10.1145/3674225.3674257","title":"Research on the optimization of transformer fault prediction method based on characteristic gas","display_name":"Research on the optimization of transformer fault prediction method based on characteristic gas","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4401168024","doi":"https://doi.org/10.1145/3674225.3674257"},"language":"en","primary_location":{"id":"doi:10.1145/3674225.3674257","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3674225.3674257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Power Electronics and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5111880561","display_name":"Jizhao Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiashuo Ding","raw_affiliation_strings":["College of Safety Science and Engineering, Nanjing Tech University, China"],"raw_orcid":"https://orcid.org/0009-0003-0946-7192","affiliations":[{"raw_affiliation_string":"College of Safety Science and Engineering, Nanjing Tech University, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021064293","display_name":"Xuefeng Han","orcid":null},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Han","raw_affiliation_strings":["College of Safety Science and Engineering, Nanjing Tech University, China"],"raw_orcid":"https://orcid.org/0009-0007-4057-880X","affiliations":[{"raw_affiliation_string":"College of Safety Science and Engineering, Nanjing Tech University, China","institution_ids":["https://openalex.org/I134687103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I134687103"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"166","last_page":"169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":1.0,"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":1.0,"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/T10511","display_name":"High voltage insulation and dielectric phenomena","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10972","display_name":"Power Systems Fault Detection","score":0.9688000082969666,"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":0.5999054908752441},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5440738201141357},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.39477068185806274},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19674348831176758},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.18524718284606934},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.11073720455169678}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5999054908752441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5440738201141357},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.39477068185806274},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19674348831176758},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.18524718284606934},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.11073720455169678}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3674225.3674257","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3674225.3674257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Power Electronics and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1970983574","https://openalex.org/W2344971321","https://openalex.org/W3044802254","https://openalex.org/W4252709640"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Oil-immersed":[0],"transformer":[1,7,16,42],"is":[2,99,107],"the":[3,14,41,51,65,71,76,82,86,91,102,114,119,123],"most":[4],"widely":[5],"used":[6],"at":[8],"present,":[9],"every":[10],"year":[11],"because":[12],"of":[13,38,85,122],"oil-immersed":[15],"fire,":[17],"Explosions":[18],"and":[19,31,89,125],"failures":[20],"that":[21,101],"cause":[22],"secondary":[23],"disasters":[24],"are":[25],"common.":[26],"In":[27,59],"recent":[28],"years,":[29],"domestic":[30],"foreign":[32],"scholars":[33],"have":[34],"done":[35],"a":[36],"lot":[37],"research":[39,49],"on":[40,50,56,70],"characteristic":[43],"gas":[44],"content":[45],"prediction,":[46,88],"but":[47],"less":[48],"interval":[52,66,93,104],"prediction":[53,67,73,94,105],"model":[54,80,84],"based":[55,69],"accurate":[57],"value.":[58,130],"this":[60,62],"regard,":[61],"paper":[63],"explores":[64],"method":[68,106],"point":[72,87],"method,":[74],"determines":[75],"GM":[77],"(Grey":[78],"Model)":[79],"as":[81],"basic":[83],"proposes":[90],"LGM":[92,103],"method.":[95],"After":[96],"verification,":[97],"it":[98],"found":[100],"more":[108],"accurate,":[109],"which":[110],"can":[111],"better":[112],"meet":[113],"actual":[115],"engineering":[116,128],"needs,":[117],"ensure":[118],"reliable":[120],"operation":[121],"transformer,":[124],"has":[126],"good":[127],"application":[129]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}