{"id":"https://openalex.org/W4416366994","doi":"https://doi.org/10.1109/iceeps66790.2025.11239954","title":"Data Processing and Feature Extraction for High-Current Switchgear Cabinets Operation based on Improved Random Forest Model","display_name":"Data Processing and Feature Extraction for High-Current Switchgear Cabinets Operation based on Improved Random Forest Model","publication_year":2025,"publication_date":"2025-07-17","ids":{"openalex":"https://openalex.org/W4416366994","doi":"https://doi.org/10.1109/iceeps66790.2025.11239954"},"language":"en","primary_location":{"id":"doi:10.1109/iceeps66790.2025.11239954","doi":"https://doi.org/10.1109/iceeps66790.2025.11239954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceeps66790.2025.11239954","pdf_url":null,"source":{"id":"https://openalex.org/S7407087383","display_name":"International Conference on Energy and Electrical Power Systems (ICEEPS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 4th International Conference on Energy and Electrical Power Systems (ICEEPS)","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W4416366994"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"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/A5080625030","display_name":"Bojiang Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405272762","display_name":"Guangdong Power Grid Company (China)","ror":"https://ror.org/04p8atc80","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405272762"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bojiang Liu","raw_affiliation_strings":["Guangdong Power Grid Company,Dongguan Power Supply Bureau,Dongguan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Power Grid Company,Dongguan Power Supply Bureau,Dongguan,China","institution_ids":["https://openalex.org/I4405272762"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069741452","display_name":"Peng Chen","orcid":"https://orcid.org/0000-0002-2757-2549","observed_orcids":["https://orcid.org/0000-0002-2757-2549"]},"institutions":[{"id":"https://openalex.org/I4405272762","display_name":"Guangdong Power Grid Company (China)","ror":"https://ror.org/04p8atc80","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405272762"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Chen","raw_affiliation_strings":["Guangdong Power Grid Company,Dongguan Power Supply Bureau,Dongguan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Power Grid Company,Dongguan Power Supply Bureau,Dongguan,China","institution_ids":["https://openalex.org/I4405272762"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weidong Xu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405272762","display_name":"Guangdong Power Grid Company (China)","ror":"https://ror.org/04p8atc80","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405272762"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Xu","raw_affiliation_strings":["Guangdong Power Grid Company,Dongguan Power Supply Bureau,Dongguan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Power Grid Company,Dongguan Power Supply Bureau,Dongguan,China","institution_ids":["https://openalex.org/I4405272762"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100568857","display_name":"Cong Yuan","orcid":"https://orcid.org/0009-0003-8988-9810","observed_orcids":["https://orcid.org/0009-0003-8988-9810"]},"institutions":[{"id":"https://openalex.org/I4405272762","display_name":"Guangdong Power Grid Company (China)","ror":"https://ror.org/04p8atc80","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405272762"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Yuan","raw_affiliation_strings":["Guangdong Power Grid Company,Dongguan Power Supply Bureau,Dongguan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Power Grid Company,Dongguan Power Supply Bureau,Dongguan,China","institution_ids":["https://openalex.org/I4405272762"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Leiming Song","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405272762","display_name":"Guangdong Power Grid Company (China)","ror":"https://ror.org/04p8atc80","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405272762"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leiming Song","raw_affiliation_strings":["Guangdong Power Grid Company,Dongguan Power Supply Bureau,Dongguan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Power Grid Company,Dongguan Power Supply Bureau,Dongguan,China","institution_ids":["https://openalex.org/I4405272762"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101448114","display_name":"Shuyu Liang","orcid":"https://orcid.org/0000-0002-7154-1520","observed_orcids":["https://orcid.org/0000-0002-7154-1520"]},"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":"Shuyu Liang","raw_affiliation_strings":["North China Electric Power University,School of Electrical and Electronic Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Electric Power University,School of Electrical and Electronic Engineering,Beijing,China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083339635","display_name":"Yanbo Hao","orcid":"https://orcid.org/0009-0007-2303-689X","observed_orcids":["https://orcid.org/0009-0007-2303-689X"]},"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":"Yanbo Hao","raw_affiliation_strings":["North China Electric Power University,School of Electrical and Electronic Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Electric Power University,School of Electrical and Electronic Engineering,Beijing,China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107125618","display_name":"Haoyu Ci","orcid":"https://orcid.org/0009-0004-2777-6674","observed_orcids":["https://orcid.org/0009-0004-2777-6674"]},"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":"Haoyu Ci","raw_affiliation_strings":["North China Electric Power University,School of Electrical and Electronic Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Electric Power University,School of Electrical and Electronic Engineering,Beijing,China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7062,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72243793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"580","last_page":"586"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12451","display_name":"Smart Grid and Power Systems","score":0.6791999936103821,"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/T12451","display_name":"Smart Grid and Power Systems","score":0.6791999936103821,"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/T10972","display_name":"Power Systems Fault Detection","score":0.04320000112056732,"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"}},{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.038100000470876694,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/switchgear-cabinets","display_name":"switchgear cabinets","score":0.968999981880188},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.8399999737739563},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.8029999732971191},{"id":"https://openalex.org/keywords/information-gain-ratio","display_name":"information gain ratio","score":0.8489999771118164},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.781000018119812},{"id":"https://openalex.org/keywords/decision-tree-pruning","display_name":"decision tree pruning","score":0.9179999828338623},{"id":"https://openalex.org/keywords/overfitting","display_name":"overfitting","score":0.7770000100135803},{"id":"https://openalex.org/keywords/intelligent-operation-and-maintenance","display_name":"intelligent operation and maintenance","score":0.6940000057220459}],"concepts":[{"id":"https://openalex.org/C93893174","wikidata":"https://www.wikidata.org/wiki/Q1273786","display_name":"Switchgear","level":2,"score":0.6983000040054321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6647999882698059},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6545000076293945},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.620199978351593},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6119999885559082},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5457000136375427},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5386000275611877},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5346999764442444},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5270000100135803},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4830999970436096},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.47909998893737793},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4300000071525574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4260999858379364},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.40849998593330383},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.40540000796318054},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.3788999915122986},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.37450000643730164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36660000681877136},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.35850000381469727},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3481000065803528},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.34619998931884766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3140000104904175},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2856000065803528},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.25589999556541443},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceeps66790.2025.11239954","doi":"https://doi.org/10.1109/iceeps66790.2025.11239954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceeps66790.2025.11239954","pdf_url":null,"source":{"id":"https://openalex.org/S7407087383","display_name":"International Conference on Energy and Electrical Power Systems (ICEEPS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 4th International Conference on Energy and Electrical Power Systems (ICEEPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323192","display_name":"China Southern Power Grid","ror":"https://ror.org/03hkh9419"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2124397880","https://openalex.org/W2139254257","https://openalex.org/W2527494673","https://openalex.org/W2545356108","https://openalex.org/W2735191761","https://openalex.org/W2770568598","https://openalex.org/W2911452386","https://openalex.org/W2996331621","https://openalex.org/W3022996714","https://openalex.org/W3108598601","https://openalex.org/W4311223767","https://openalex.org/W4312081780","https://openalex.org/W4391857614"],"related_works":["https://openalex.org/W4414661939","https://openalex.org/W4410496825","https://openalex.org/W4414198311","https://openalex.org/W4417337482","https://openalex.org/W4409475366","https://openalex.org/W7140189211","https://openalex.org/W7130553172","https://openalex.org/W7140177313","https://openalex.org/W2563894485","https://openalex.org/W4393285583"],"abstract_inverted_index":{"To":[0],"enhance":[1,71],"the":[2,45,52,62,72,83,88,94,106,136],"data":[3,22,102,132],"processing":[4,23,133],"and":[5,24,54,67,76,103,128,140],"key":[6],"feature":[7,25,41,57,91],"identification":[8],"capabilities":[9],"of":[10,56,97,108,143],"high-current":[11],"switchgear":[12,98,122],"under":[13],"complex":[14],"operation":[15,21,95,101,109,123],"conditions,":[16],"this":[17,117],"paper":[18],"proposes":[19],"an":[20,37,130],"extraction":[26],"method":[27,35,118],"based":[28],"on":[29],"improved":[30],"random":[31,47],"forest":[32,48],"model.":[33],"This":[34],"introduces":[36],"information":[38],"gain":[39],"ratio-based":[40],"selection":[42],"mechanism":[43],"into":[44],"traditional":[46],"structure":[49],"to":[50,70],"improve":[51],"accuracy":[53],"efficiency":[55],"screening.":[58],"Additionally,":[59],"it":[60],"optimizes":[61],"decision":[63],"tree":[64],"growth":[65],"strategy":[66],"pruning":[68],"methods":[69],"model's":[73],"generalization":[74],"ability":[75],"reduce":[77],"overfitting":[78],"risks.":[79],"Through":[80],"simulation":[81,113],"experiments,":[82],"model":[84],"effectively":[85],"filters":[86],"out":[87],"most":[89],"influential":[90],"subsets":[92],"for":[93,135],"status":[96],"from":[99],"high-dimensional":[100],"preliminarily":[104],"achieves":[105],"prediction":[107],"risk":[110,141],"levels.":[111],"The":[112],"results":[114],"demonstrate":[115],"that":[116],"can":[119],"efficiently":[120],"process":[121],"data,":[124],"extract":[125],"high-quality":[126],"features,":[127],"provide":[129],"effective":[131],"solution":[134],"intelligent":[137],"operation,":[138],"maintenance,":[139],"prevention":[142],"switchgear.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2025-11-19T00:00:00"}
