{"id":"https://openalex.org/W3128012040","doi":"https://doi.org/10.1109/ias44978.2020.9334894","title":"A Method for Discriminating the Moisture Status of OIP Bushing based on Dissado-Hill and GWO-HMM Model","display_name":"A Method for Discriminating the Moisture Status of OIP Bushing based on Dissado-Hill and GWO-HMM Model","publication_year":2020,"publication_date":"2020-10-10","ids":{"openalex":"https://openalex.org/W3128012040","doi":"https://doi.org/10.1109/ias44978.2020.9334894","mag":"3128012040"},"language":"en","primary_location":{"id":"doi:10.1109/ias44978.2020.9334894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias44978.2020.9334894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Industry Applications Society Annual Meeting","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/A5101471121","display_name":"Wei Liao","orcid":"https://orcid.org/0000-0001-8530-887X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Liao","raw_affiliation_strings":["School of eletrical engineering, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of eletrical engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066087659","display_name":"Lijun Zhou","orcid":"https://orcid.org/0000-0002-6070-0020"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Zhou","raw_affiliation_strings":["School of eletrical engineering, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of eletrical engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020728580","display_name":"Chuanhui Zhang","orcid":"https://orcid.org/0000-0003-4141-5731"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanhui Zhang","raw_affiliation_strings":["School of eletrical engineering, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of eletrical engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391562","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0003-4872-4860"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["School of eletrical engineering, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of eletrical engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433039","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-5441-3474"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["School of eletrical engineering, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of eletrical engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101850015","display_name":"Lei Guo","orcid":"https://orcid.org/0000-0003-4881-7960"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Guo","raw_affiliation_strings":["School of eletrical engineering, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of eletrical engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101471121"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.411,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62726137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9994000196456909,"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":0.9994000196456909,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11212","display_name":"Cultural Heritage Materials Analysis","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bushing","display_name":"Bushing","score":0.8736017346382141},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6915243864059448},{"id":"https://openalex.org/keywords/moisture","display_name":"Moisture","score":0.5415911674499512},{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.5273129343986511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4061616063117981},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4024393558502197},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.32242119312286377},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.31944432854652405},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3044937252998352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27817481756210327},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.26215189695358276},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.09216704964637756},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06021377444267273}],"concepts":[{"id":"https://openalex.org/C30293662","wikidata":"https://www.wikidata.org/wiki/Q2262992","display_name":"Bushing","level":2,"score":0.8736017346382141},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6915243864059448},{"id":"https://openalex.org/C176864760","wikidata":"https://www.wikidata.org/wiki/Q217651","display_name":"Moisture","level":2,"score":0.5415911674499512},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.5273129343986511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4061616063117981},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4024393558502197},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.32242119312286377},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.31944432854652405},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3044937252998352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27817481756210327},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.26215189695358276},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.09216704964637756},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06021377444267273}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ias44978.2020.9334894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias44978.2020.9334894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Industry Applications Society Annual Meeting","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6499999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W232893681","https://openalex.org/W1969334016","https://openalex.org/W2005532933","https://openalex.org/W2059912591","https://openalex.org/W2061438946","https://openalex.org/W2080972498","https://openalex.org/W2339872282","https://openalex.org/W2556481805","https://openalex.org/W2566819843","https://openalex.org/W2570042284","https://openalex.org/W2574406707","https://openalex.org/W2594083685","https://openalex.org/W2608759499","https://openalex.org/W2789833457","https://openalex.org/W2791150267","https://openalex.org/W2795951855","https://openalex.org/W2886311141","https://openalex.org/W2886752862","https://openalex.org/W2915382733","https://openalex.org/W2923231330","https://openalex.org/W2995099348","https://openalex.org/W3006773615"],"related_works":["https://openalex.org/W2942767629","https://openalex.org/W3194380549","https://openalex.org/W2330662521","https://openalex.org/W2132065678","https://openalex.org/W2388318728","https://openalex.org/W1560946885","https://openalex.org/W2353424217","https://openalex.org/W2008233638","https://openalex.org/W2371704579","https://openalex.org/W2620782783"],"abstract_inverted_index":{"An":[0],"accurate":[1],"discrimination":[2],"on":[3,23],"moisture":[4,57,67,95,155],"status":[5],"(MS)":[6],"of":[7,20,39,51,66,71,120,136,152],"oil-impregnated":[8],"paper":[9,34],"(OIP)":[10],"bushings":[11,52,121],"is":[12],"crucial":[13],"for":[14,48,158],"the":[15,55,72,84,110,118,132,137,150,153],"maintenance":[16],"and":[17,28,43,59,69,125,142],"replacement":[18],"schedule":[19],"bushings.":[21,160],"Based":[22],"frequency-domain":[24],"spectroscopy":[25],"(FDS)":[26],"measurement":[27],"Dissado-Hill":[29],"(DH)":[30],"relaxation":[31],"model,":[32],"this":[33],"proposes":[35],"a":[36,105],"hybrid":[37],"approach":[38],"hidden":[40],"Markov":[41],"model":[42],"gray":[44],"wolf":[45],"optimization":[46],"(GWO-HMM)":[47],"MS":[49,119],"estimation":[50],"subjected":[53],"to":[54,89,108,116],"ununiform":[56],"distribution":[58],"dynamic":[60],"time-series":[61],"modeling.":[62],"First,":[63],"simulation":[64,124],"models":[65],"diffusion":[68],"FDS":[70],"OIP":[73,159],"bushing":[74],"were":[75],"constructed":[76],"using":[77,122],"finite":[78],"element":[79],"modelling":[80],"(FEM)":[81],"approach.":[82],"Then,":[83,99],"GWO":[85],"algorithm":[86],"was":[87,101,114],"employed":[88],"explore":[90],"dielectric":[91],"parameters":[92],"influenced":[93],"by":[94],"in":[96],"DH":[97],"model.":[98],"GWO-HMMs":[100,113],"further":[102],"adopted":[103],"as":[104],"classification":[106],"tool":[107],"discriminate":[109],"MS.":[111],"The":[112],"applied":[115],"estimate":[117,156],"both":[123],"experimental":[126],"data.":[127],"Classification":[128],"results":[129],"confirm":[130],"that":[131],"average":[133],"identification":[134],"accuracies":[135],"proposed":[138,154],"method":[139,157],"are":[140],"98.08%":[141],"97.61%":[143],"over":[144],"these":[145],"two":[146],"datasets,":[147],"which":[148],"demonstrates":[149],"effectiveness":[151]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
