{"id":"https://openalex.org/W3003677515","doi":"https://doi.org/10.1115/1.4046210","title":"Application of Support Vector Machine-Based Classification Extremum Method in Flexible Mechanism","display_name":"Application of Support Vector Machine-Based Classification Extremum Method in Flexible Mechanism","publication_year":2020,"publication_date":"2020-01-31","ids":{"openalex":"https://openalex.org/W3003677515","doi":"https://doi.org/10.1115/1.4046210","mag":"3003677515"},"language":"en","primary_location":{"id":"doi:10.1115/1.4046210","doi":"https://doi.org/10.1115/1.4046210","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4046210","pdf_url":null,"source":{"id":"https://openalex.org/S198805599","display_name":"Journal of Mechanisms and Robotics","issn_l":"1942-4302","issn":["1942-4302","1942-4310"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Mechanisms and Robotics","raw_type":"journal-article"},"volume":null,"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/A5101978553","display_name":"Bin Bai","orcid":"https://orcid.org/0000-0001-6033-7578","observed_orcids":["https://orcid.org/0000-0001-6033-7578"]},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]},{"id":"https://openalex.org/I4405272076","display_name":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment","ror":"https://ror.org/03h0f9b72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4405272076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Bai","raw_affiliation_strings":["State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China","institution_ids":["https://openalex.org/I184843921","https://openalex.org/I4405272076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424656","display_name":"Ze Li","orcid":"https://orcid.org/0009-0001-8770-6764","observed_orcids":["https://orcid.org/0009-0001-8770-6764"]},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ze Li","raw_affiliation_strings":["School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342751","display_name":"Junyi Zhang","orcid":"https://orcid.org/0000-0002-3267-542X","observed_orcids":["https://orcid.org/0000-0002-3267-542X","https://orcid.org/0009-0003-3588-8839"]},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyi Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338832","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-9156-6779","observed_orcids":["https://orcid.org/0000-0001-9156-6779"]},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Beijing Key Laboratory for the Nonlinear Vibration and Strength of Mechanical Structures, Beijing University of Technology, Beijing 100201, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for the Nonlinear Vibration and Strength of Mechanical Structures, Beijing University of Technology, Beijing 100201, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3723,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.82269504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"12","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11046","display_name":"Geotechnical Engineering and Analysis","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/support-vector-machine","display_name":"support vector machine","score":0.9700000286102295},{"id":"https://openalex.org/keywords/dynamic-reliability-analysis","display_name":"dynamic reliability analysis","score":0.7419999837875366},{"id":"https://openalex.org/keywords/flexibility-mechanisms","display_name":"flexible mechanisms","score":0.8489999771118164},{"id":"https://openalex.org/keywords/surrogate-modeling","display_name":"surrogate models","score":0.6610000133514404},{"id":"https://openalex.org/keywords/small-sample-size-problem","display_name":"small sample size problem","score":0.4620000123977661},{"id":"https://openalex.org/keywords/limit-state-equation","display_name":"limit state equation","score":0.7080000042915344},{"id":"https://openalex.org/keywords/multiple-failure-modes","display_name":"multiple failure modes","score":0.7829999923706055},{"id":"https://openalex.org/keywords/convex-quadratic-programming","display_name":"convex quadratic programming","score":0.6779999732971191},{"id":"https://openalex.org/keywords/kernel-functions","display_name":"kernel functions","score":0.6679999828338623},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.4269999861717224}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7408642768859863},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.5678747892379761},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5165147185325623},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49750640988349915},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.48858627676963806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45587390661239624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45402273535728455},{"id":"https://openalex.org/C138405894","wikidata":"https://www.wikidata.org/wiki/Q3179949","display_name":"Multivariate random variable","level":3,"score":0.41909435391426086},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4131046235561371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4126475751399994},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4043634235858917},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.376791775226593},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.25162041187286377},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10216903686523438},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1115/1.4046210","doi":"https://doi.org/10.1115/1.4046210","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4046210","pdf_url":null,"source":{"id":"https://openalex.org/S198805599","display_name":"Journal of Mechanisms and Robotics","issn_l":"1942-4302","issn":["1942-4302","1942-4310"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Mechanisms and Robotics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2026138437","display_name":"\u822a\u7a7a\u53d1\u52a8\u673a\u5931\u8c10\u53f6\u76d8\u52a8\u529b\u7279\u6027\u5efa\u6a21\u548c\u9884\u6d4b\u63a7\u5236\u65b9\u6cd5\u7814\u7a76","funder_award_id":"11772011","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W951859407","https://openalex.org/W1614663146","https://openalex.org/W1972392852","https://openalex.org/W1972679354","https://openalex.org/W1980508351","https://openalex.org/W1988610730","https://openalex.org/W1989955119","https://openalex.org/W1990441178","https://openalex.org/W1994345439","https://openalex.org/W2009615718","https://openalex.org/W2009702729","https://openalex.org/W2010031315","https://openalex.org/W2020526497","https://openalex.org/W2063724955","https://openalex.org/W2066884548","https://openalex.org/W2066924236","https://openalex.org/W2083673985","https://openalex.org/W2091350393","https://openalex.org/W2104956067","https://openalex.org/W2128720617","https://openalex.org/W2156145910","https://openalex.org/W2167666191","https://openalex.org/W2168379380","https://openalex.org/W2169500530","https://openalex.org/W2211369900","https://openalex.org/W2267320693","https://openalex.org/W2268859841","https://openalex.org/W2277042268","https://openalex.org/W2525077346","https://openalex.org/W2566242503","https://openalex.org/W2589383136","https://openalex.org/W2592887437","https://openalex.org/W2603973367","https://openalex.org/W2737416694","https://openalex.org/W2791460242","https://openalex.org/W2942532368","https://openalex.org/W2963561977","https://openalex.org/W3149168843"],"related_works":["https://openalex.org/W2386321113","https://openalex.org/W2070390170","https://openalex.org/W2330781293","https://openalex.org/W2066722671","https://openalex.org/W2351215907","https://openalex.org/W2072746594","https://openalex.org/W2626723028","https://openalex.org/W2070184305","https://openalex.org/W7097378049","https://openalex.org/W2950392350"],"abstract_inverted_index":{"Abstract":[0],"The":[1,159,231,253],"computational":[2,236,251],"efficiencies":[3],"of":[4,30,40,60,144,170,180,192,209,220,238,244,267],"traditional":[5],"reliability":[6,101,149,208,258],"methods,":[7,25],"such":[8],"as":[9,104,188],"Monte":[10],"Carlo":[11],"(MC),":[12],"are":[13,17,157],"extremely":[14],"low.":[15],"There":[16],"also":[18],"some":[19],"shortcomings":[20],"for":[21,70,128,155,264],"surrogate":[22,190],"model":[23,117,150,191],"(SM)-based":[24],"e.g.,":[26],"the":[27,31,38,44,58,129,166,168,189,206,218,235,250,265],"sample":[28,54],"points":[29],"quadratic":[32,182],"polynomial":[33],"(QP)-MC":[34],"grow":[35],"exponentially":[36],"with":[37,52,90,114,151,226],"increases":[39],"random":[41,115],"variables":[42],"and":[43,73,77,98,147,229,247],"artificial":[45],"neural":[46],"network":[47],"(ANN)-MC":[48],"may":[49],"exhibit":[50],"overfitting":[51],"limited":[53,91],"numbers,":[55],"etc.":[56],"However,":[57],"characteristic":[59],"support":[61],"vector":[62],"machine":[63],"(SVM)":[64],"is":[65,122,125,162,174,186,202,224,233,240],"that":[66,82,133,234,243],"it":[67,83],"specifically":[68],"fits":[69],"small":[71],"samples":[72],"has":[74,134,260],"strong":[75],"learning":[76],"good":[78],"generalization":[79],"abilities":[80],"so":[81],"can":[84],"obtain":[85],"an":[86,138],"optimal":[87,171],"solution":[88,169],"even":[89],"samples.":[92,136],"In":[93],"this":[94,200,221],"case,":[95],"a":[96,148,177],"high-efficiency":[97],"high-accuracy":[99],"dynamic":[100,145,194,207,257],"framework":[102],"called":[103],"SVM-based":[105],"classification":[106,112,172],"extremum":[107],"method":[108,201],"(SVM-CEM)":[109],"combining":[110],"SVM":[111],"theory":[113],"probability":[116],"based":[118],"on":[119],"optimization":[120],"idea":[121],"proposed,":[123],"which":[124,185],"very":[126],"suitable":[127],"flexible":[130],"mechanism":[131],"(FM)":[132],"few":[135],"First,":[137],"implicit":[139],"limit":[140],"state":[141],"equation":[142],"(LSE)":[143],"response":[146,195],"multiple":[152],"failure":[153],"modes":[154],"FM":[156],"established.":[158],"kernel":[160],"function":[161],"introduced":[163],"in":[164,256],"building":[165],"model,":[167],"hyperplane":[173],"translated":[175],"into":[176],"dual":[178],"problem":[179],"convex":[181],"programming":[183],"optimization,":[184],"regarded":[187],"FM\u2019s":[193,210,268],"extreme":[196],"value":[197],"(DREV).":[198],"Then,":[199],"used":[203],"to":[204,216],"analyze":[205],"maximum":[211],"angular":[212],"acceleration":[213],"(MAA).":[214],"Finally,":[215],"reveal":[217],"validity":[219],"method,":[222],"SVM-CEM":[223,239,255],"compared":[225],"MC,":[227,245],"QP-MC,":[228,246],"ANN-MC.":[230],"conclusion":[232],"efficiency":[237],"better":[241],"than":[242],"ANN-MC":[248],"ensuring":[249],"accuracy.":[252],"proposed":[254],"analysis":[259],"important":[261],"guiding":[262],"significance":[263],"application":[266],"practical":[269],"engineering.":[270]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2020-02-07T00:00:00"}