{"id":"https://openalex.org/W2900053598","doi":"https://doi.org/10.1109/tii.2018.2879500","title":"Fv-SVM-Based Wall-Thickness Error Decomposition for Adaptive Machining of Large Skin Parts","display_name":"Fv-SVM-Based Wall-Thickness Error Decomposition for Adaptive Machining of Large Skin Parts","publication_year":2018,"publication_date":"2018-11-06","ids":{"openalex":"https://openalex.org/W2900053598","doi":"https://doi.org/10.1109/tii.2018.2879500","mag":"2900053598"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2018.2879500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2018.2879500","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-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/A5102710675","display_name":"Qingzhen Bi","orcid":"https://orcid.org/0000-0002-0734-5226"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingzhen Bi","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0734-5226","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100674029","display_name":"Xinzhi Wang","orcid":"https://orcid.org/0000-0001-8218-3389"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinzhi Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075668011","display_name":"Qi Wu","orcid":"https://orcid.org/0000-0002-1196-226X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103205239","display_name":"Limin Zhu","orcid":"https://orcid.org/0000-0003-3194-6731"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Limin Zhu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3194-6731","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057513904","display_name":"Han Ding","orcid":"https://orcid.org/0000-0003-2905-6369"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Ding","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102710675"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":2.392,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.88063591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"15","issue":"4","first_page":"2426","last_page":"2434"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9995999932289124,"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/T10188","display_name":"Advanced machining processes and optimization","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9972000122070312,"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/machining","display_name":"Machining","score":0.6482630372047424},{"id":"https://openalex.org/keywords/rigidity","display_name":"Rigidity (electromagnetism)","score":0.6020419597625732},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5633863806724548},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48244887590408325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4468723237514496},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.44607406854629517},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.38866177201271057},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3625754714012146},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.319661021232605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2788912057876587},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.27367502450942993},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.2684757113456726},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.14478769898414612}],"concepts":[{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.6482630372047424},{"id":"https://openalex.org/C160343418","wikidata":"https://www.wikidata.org/wiki/Q185256","display_name":"Rigidity (electromagnetism)","level":2,"score":0.6020419597625732},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5633863806724548},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48244887590408325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4468723237514496},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.44607406854629517},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.38866177201271057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3625754714012146},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.319661021232605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2788912057876587},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.27367502450942993},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.2684757113456726},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.14478769898414612},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2018.2879500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2018.2879500","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6000000238418579,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G5160966540","display_name":null,"funder_award_id":"91648202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6937656860","display_name":null,"funder_award_id":"17XD1422500","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G878649478","display_name":null,"funder_award_id":"U1537209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1824158590","https://openalex.org/W1978894006","https://openalex.org/W1979266891","https://openalex.org/W2013872183","https://openalex.org/W2015941419","https://openalex.org/W2029146511","https://openalex.org/W2029997362","https://openalex.org/W2032354890","https://openalex.org/W2036505373","https://openalex.org/W2038158113","https://openalex.org/W2056526139","https://openalex.org/W2073560232","https://openalex.org/W2078071780","https://openalex.org/W2079545962","https://openalex.org/W2112606365","https://openalex.org/W2118113651","https://openalex.org/W2118898434","https://openalex.org/W2119193410","https://openalex.org/W2143032577","https://openalex.org/W2144340923","https://openalex.org/W2160569898","https://openalex.org/W2339140173","https://openalex.org/W2539149443","https://openalex.org/W2558799948","https://openalex.org/W2561132637","https://openalex.org/W2773141620","https://openalex.org/W2788509257"],"related_works":["https://openalex.org/W2803338891","https://openalex.org/W2043267898","https://openalex.org/W2112229447","https://openalex.org/W2036155574","https://openalex.org/W2063119839","https://openalex.org/W2626846570","https://openalex.org/W2053955898","https://openalex.org/W2975110486","https://openalex.org/W2355268135","https://openalex.org/W2369113923"],"abstract_inverted_index":{"Large":[0],"skin":[1,20,86,210],"parts":[2],"play":[3],"an":[4],"important":[5],"role":[6],"in":[7,18,111,207],"the":[8,15,19,29,46,50,76,84,90,112,128,150,154,164,172,180,216,219,232],"aerospace":[9],"industry.":[10],"The":[11,35,105,123,141,191,201,222],"wall":[12],"thickness":[13],"of":[14,49,83,130,204,218],"machined":[16],"pocket":[17],"part":[21],"needs":[22],"to":[23,27,75,197,214,228],"be":[24,195,226],"strictly":[25],"controlled":[26],"ensure":[28,89],"transport":[30],"capacity":[31],"and":[32,58,72,80,120,179],"structural":[33],"strength.":[34],"wall-thickness":[36,91,99,106,151,174,182,223],"accuracy":[37,224],"is":[38,103,134,176,184],"generally":[39],"decreased":[40],"by":[41,61,186],"various":[42],"factors,":[43],"such":[44,162],"as":[45,163],"shaping":[47],"error":[48,100,175,183],"workpiece":[51,165,233],"blank,":[52],"fixing":[53,168],"error,":[54,57],"machine":[55,97],"tool":[56,199],"deformation":[59,166],"caused":[60],"cutting":[62,113,202],"force":[63],"or":[64,167],"internal":[65],"stress.":[66],"These":[67],"factors":[68,147],"are":[69,109,115],"usually":[70,157],"inevitable":[71],"stochastic":[73],"due":[74],"extremely":[77],"weak":[78],"rigidity":[79],"easy-to-deflect":[81],"characteristics":[82],"large":[85,209],"parts.":[87],"To":[88],"accuracy,":[92,152],"a":[93,135,188,208],"fuzzy":[94],"v-support":[95],"vector":[96],"(Fv-SVM)-based":[98],"decomposition":[101,125],"method":[102,126,143,156,193],"proposed.":[104],"errors,":[107],"which":[108],"monitored":[110],"process,":[114],"decomposed":[116],"into":[117],"spatial-related":[118,173],"errors":[119],"time-related":[121,181],"errors.":[122],"Fv-SVM-based":[124],"with":[127,234],"principle":[129],"spatial":[131],"statistical":[132],"analysis":[133],"data-driven":[136,142],"approach":[137],"for":[138,231],"intelligent":[139],"manufacturing.":[140],"can":[144,194,225],"consider":[145],"all":[146],"that":[148],"affect":[149],"while":[153],"model-driven":[155],"only":[158,235],"considers":[159],"one":[160],"factor,":[161],"error.":[169],"After":[170],"decomposition,":[171],"offline":[177],"compensated,":[178],"compensated":[185],"using":[187],"real-time":[189],"strategy.":[190],"novel":[192],"applied":[196],"complex":[198],"paths.":[200],"experiment":[203],"rectangular":[205],"pockets":[206],"panel":[211],"was":[212],"conducted":[213],"verify":[215],"effectiveness":[217],"proposed":[220],"method.":[221],"improved":[227],"0.05":[229],"mm":[230,237],"2":[236],"thickness.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}