{"id":"https://openalex.org/W2997641576","doi":"https://doi.org/10.1109/tie.2019.2962468","title":"Generalized Semisupervised Self-Optimizing Kernel Model for Quality-Related Industrial Process Monitoring","display_name":"Generalized Semisupervised Self-Optimizing Kernel Model for Quality-Related Industrial Process Monitoring","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2997641576","doi":"https://doi.org/10.1109/tie.2019.2962468","mag":"2997641576"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2019.2962468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2019.2962468","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","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/A5087211098","display_name":"Chihang Wei","orcid":"https://orcid.org/0000-0003-1267-2763"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chihang Wei","raw_affiliation_strings":["College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048733958","display_name":"Zhihuan Song","orcid":"https://orcid.org/0000-0003-4098-6479"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihuan Song","raw_affiliation_strings":["College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087211098"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.324,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79453183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"67","issue":"12","first_page":"10876","last_page":"10886"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998999834060669,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9936000108718872,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9929999709129333,"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/kernel","display_name":"Kernel (algebra)","score":0.7945746183395386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6262221336364746},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.5011060237884521},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5008485317230225},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4952496588230133},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4851006269454956},{"id":"https://openalex.org/keywords/kernel-embedding-of-distributions","display_name":"Kernel embedding of distributions","score":0.4700697064399719},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4668978154659271},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.4583129584789276},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44725069403648376},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.4434530735015869},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29590922594070435},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21348220109939575}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7945746183395386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6262221336364746},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.5011060237884521},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5008485317230225},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4952496588230133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4851006269454956},{"id":"https://openalex.org/C134517425","wikidata":"https://www.wikidata.org/wiki/Q16000131","display_name":"Kernel embedding of distributions","level":4,"score":0.4700697064399719},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4668978154659271},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.4583129584789276},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44725069403648376},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.4434530735015869},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29590922594070435},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21348220109939575},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2019.2962468","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2019.2962468","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G1987348790","display_name":null,"funder_award_id":"61833014","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W567350711","https://openalex.org/W1512834934","https://openalex.org/W1541288193","https://openalex.org/W1845002809","https://openalex.org/W1965733010","https://openalex.org/W1971536112","https://openalex.org/W1985034083","https://openalex.org/W1986759966","https://openalex.org/W1991587416","https://openalex.org/W1994505190","https://openalex.org/W1997175832","https://openalex.org/W2004186751","https://openalex.org/W2017588182","https://openalex.org/W2035072927","https://openalex.org/W2041406732","https://openalex.org/W2070527568","https://openalex.org/W2088032561","https://openalex.org/W2093109772","https://openalex.org/W2132029223","https://openalex.org/W2135663228","https://openalex.org/W2139269942","https://openalex.org/W2140389641","https://openalex.org/W2158958729","https://openalex.org/W2275031392","https://openalex.org/W2466822794","https://openalex.org/W2526056482","https://openalex.org/W2567394033","https://openalex.org/W2588880771","https://openalex.org/W2731450000","https://openalex.org/W2757109865","https://openalex.org/W2765871399","https://openalex.org/W2808353230","https://openalex.org/W2889017122","https://openalex.org/W2891737721","https://openalex.org/W2901849452","https://openalex.org/W3013880646","https://openalex.org/W4250396044","https://openalex.org/W6630587947","https://openalex.org/W6680508596"],"related_works":["https://openalex.org/W2393746448","https://openalex.org/W1984421104","https://openalex.org/W2071590642","https://openalex.org/W2512565647","https://openalex.org/W2384322977","https://openalex.org/W2001772920","https://openalex.org/W2366185040","https://openalex.org/W2027376491","https://openalex.org/W2182834820","https://openalex.org/W2127229869"],"abstract_inverted_index":{"The":[0,50,144],"process":[1,33,74,90],"monitoring":[2],"performance":[3],"of":[4,15,115,126,130,139,148],"traditional":[5],"kernel-based":[6],"modeling":[7,65,121],"methods":[8],"strongly":[9],"depends":[10],"on":[11,88],"the":[12,16,24,29,32,36,64,69,73,89,97,102,116,120,131,149,157],"appropriate":[13],"selection":[14],"kernel":[17,45,53,57,106],"function,":[18],"which":[19],"solely":[20],"aims":[21],"at":[22],"solving":[23],"nonlinearity":[25],"and":[26,35,61,76,82,146,154],"totally":[27],"ignores":[28],"relationships":[30,71],"between":[31,72],"variables":[34,75,78],"quality":[37,77,127],"variables.":[38,91,128],"In":[39],"this":[40],"article,":[41],"a":[42],"supervised":[43],"self-optimizing":[44,105],"model":[46,107],"is":[47,59,108],"first":[48],"proposed.":[49],"unique":[51],"special":[52],"space":[54],"with":[55,85,123,141],"data-dependent":[56],"function":[58],"designed":[60],"learned":[62],"from":[63],"data,":[66],"so":[67],"that":[68],"authentic":[70],"can":[79],"be":[80,93],"discovered":[81],"extracted":[83],"combined":[84],"dimension":[86],"reduction":[87],"To":[92],"more":[94],"general":[95],"than":[96],"commonly":[98],"used":[99],"semisupervised":[100,104],"assumptions,":[101],"generalized":[103],"successively":[109],"proposed":[110,132,150],"to":[111],"make":[112],"full":[113],"use":[114],"collected":[117],"information":[118],"in":[119],"data":[122],"irregular":[124],"measurements":[125],"Both":[129],"models":[133],"only":[134],"contain":[135],"one":[136],"compact":[137],"step":[138],"optimization":[140],"scalable":[142],"parameters.":[143],"feasibility":[145],"efficiency":[147],"algorithms":[151],"are":[152],"demonstrated":[153],"evaluated":[155],"through":[156],"industrial":[158],"case":[159],"studies.":[160]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
