{"id":"https://openalex.org/W4403675176","doi":"https://doi.org/10.1109/case59546.2024.10711380","title":"Carbon Emissions Prediction Method for Gear Hobbing Based on Federated Learning with Multi-Source Data Cooperative Training","display_name":"Carbon Emissions Prediction Method for Gear Hobbing Based on Federated Learning with Multi-Source Data Cooperative Training","publication_year":2024,"publication_date":"2024-08-28","ids":{"openalex":"https://openalex.org/W4403675176","doi":"https://doi.org/10.1109/case59546.2024.10711380"},"language":"en","primary_location":{"id":"doi:10.1109/case59546.2024.10711380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case59546.2024.10711380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)","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/A5101664102","display_name":"Yan Xu","orcid":"https://orcid.org/0000-0001-6794-3896"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Xu","raw_affiliation_strings":["Chongqing University,College of Mechanical and Vehicle Engineering,Chongqing,China,400044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Mechanical and Vehicle Engineering,Chongqing,China,400044","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026633500","display_name":"Qian Yi","orcid":"https://orcid.org/0000-0002-5130-9249"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Yi","raw_affiliation_strings":["Chongqing University,College of Mechanical and Vehicle Engineering,Chongqing,China,400044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Mechanical and Vehicle Engineering,Chongqing,China,400044","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755171","display_name":"Kai Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Yi","raw_affiliation_strings":["Chongqing University,College of Mechanical and Vehicle Engineering,Chongqing,China,400044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Mechanical and Vehicle Engineering,Chongqing,China,400044","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011025844","display_name":"Congbo Li","orcid":"https://orcid.org/0000-0001-7217-3574"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"CongBo Li","raw_affiliation_strings":["Chongqing University,College of Mechanical and Vehicle Engineering,Chongqing,China,400044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Mechanical and Vehicle Engineering,Chongqing,China,400044","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101696727","display_name":"Shuping Yi","orcid":"https://orcid.org/0000-0001-6054-9896"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ShuPing Yi","raw_affiliation_strings":["Chongqing University,College of Mechanical and Vehicle Engineering,Chongqing,China,400044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University,College of Mechanical and Vehicle Engineering,Chongqing,China,400044","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":2.5716,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.9013952,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3460","last_page":"3465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9491999745368958,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9491999745368958,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/hobbing","display_name":"Hobbing","score":0.8356691598892212},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6281254291534424},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6233246922492981},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5190147161483765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4630314111709595},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33949995040893555},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.32546842098236084},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21401384472846985},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.11660623550415039},{"id":"https://openalex.org/keywords/machining","display_name":"Machining","score":0.09002527594566345}],"concepts":[{"id":"https://openalex.org/C63401691","wikidata":"https://www.wikidata.org/wiki/Q380090","display_name":"Hobbing","level":3,"score":0.8356691598892212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6281254291534424},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6233246922492981},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5190147161483765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4630314111709595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33949995040893555},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.32546842098236084},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21401384472846985},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.11660623550415039},{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.09002527594566345},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case59546.2024.10711380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case59546.2024.10711380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.44999998807907104}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2541884796","https://openalex.org/W2560647685","https://openalex.org/W2740495692","https://openalex.org/W2794159901","https://openalex.org/W2968951854","https://openalex.org/W3000206877","https://openalex.org/W3115710758","https://openalex.org/W3138801650","https://openalex.org/W3180608480","https://openalex.org/W3216709008","https://openalex.org/W4206116305","https://openalex.org/W4285079201","https://openalex.org/W4318993294","https://openalex.org/W4378188701"],"related_works":["https://openalex.org/W4390582160","https://openalex.org/W2385234620","https://openalex.org/W4389752522","https://openalex.org/W1984890888","https://openalex.org/W2366567629","https://openalex.org/W2354027600","https://openalex.org/W2382935445","https://openalex.org/W2391728471","https://openalex.org/W4394050964","https://openalex.org/W2551249631"],"abstract_inverted_index":{"Responding":[0],"to":[1,11,64,109],"the":[2,45,66,70,85,110,115],"difficulty":[3],"of":[4,69],"collecting":[5],"sufficient":[6],"progress":[7],"and":[8,76],"sharing":[9],"data":[10,13,92,106],"ensure":[12],"privacy":[14],"for":[15,25],"general":[16],"manufacturing":[17],"enterprises,":[18],"a":[19,88],"collaborative":[20,50,93],"multi":[21],"source-data":[22],"prediction":[23,67,97,102,120],"method":[24,117],"hobbing":[26,37,47,94],"carbon":[27,38,71,95],"consumption":[28,39,72,96],"based":[29,53],"on":[30,54],"federated":[31,55,89,112],"learning":[32,56,113],"framework":[33,52],"is":[34,41,57,62],"proposed.":[35],"The":[36,59,80],"model":[40,73],"established":[42],"by":[43],"analyzing":[44],"gear":[46],"process.":[48],"A":[49],"training":[51],"constructed.":[58],"FedEWC":[60,86,116],"algorithm":[61],"proposed":[63],"improve":[65],"ability":[68],"in":[74],"non-independent":[75],"homogeneous":[77],"distribution":[78],"datasets.":[79],"example":[81],"validation":[82],"demonstrates":[83],"that":[84],"method,":[87,98],"learning-based":[90],"multisource":[91],"can":[99],"achieve":[100],"higher":[101],"accuracy":[103],"while":[104],"protecting":[105],"privacy.":[107],"Compared":[108],"traditional":[111],"algorithm,":[114],"exhibits":[118],"superior":[119],"performance.":[121]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}