{"id":"https://openalex.org/W2105722058","doi":"https://doi.org/10.1109/tcst.2013.2278412","title":"Novel Bayesian Framework for Dynamic Soft Sensor Based on Support Vector Machine With Finite Impulse Response","display_name":"Novel Bayesian Framework for Dynamic Soft Sensor Based on Support Vector Machine With Finite Impulse Response","publication_year":2013,"publication_date":"2013-08-29","ids":{"openalex":"https://openalex.org/W2105722058","doi":"https://doi.org/10.1109/tcst.2013.2278412","mag":"2105722058"},"language":"en","primary_location":{"id":"doi:10.1109/tcst.2013.2278412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcst.2013.2278412","pdf_url":null,"source":{"id":"https://openalex.org/S133363738","display_name":"IEEE Transactions on Control Systems Technology","issn_l":"1063-6536","issn":["1063-6536","1558-0865","2374-0159"],"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 Control Systems Technology","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/A5029041038","display_name":"Chao Shang","orcid":"https://orcid.org/0000-0003-3905-4631"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Shang","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100580980","display_name":"Xinqing Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinqing Gao","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077651830","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0002-0254-9000"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040580297","display_name":"Dexian Huang","orcid":"https://orcid.org/0000-0001-7743-0023"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dexian Huang","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":4.5157,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.94540167,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"22","issue":"4","first_page":"1550","last_page":"1557"},"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":0.9962000250816345,"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/T11236","display_name":"Control Systems and Identification","score":0.9868999719619751,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/soft-sensor","display_name":"Soft sensor","score":0.7241861820220947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6586132645606995},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6553784608840942},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6172172427177429},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.5695634484291077},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5041102170944214},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5002260208129883},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.47873231768608093},{"id":"https://openalex.org/keywords/transient-response","display_name":"Transient response","score":0.4647457003593445},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.46132344007492065},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.45620086789131165},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.35231709480285645},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26776421070098877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2432117760181427},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22562068700790405},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.18289953470230103},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.16306817531585693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13879728317260742}],"concepts":[{"id":"https://openalex.org/C115575686","wikidata":"https://www.wikidata.org/wiki/Q18822403","display_name":"Soft sensor","level":3,"score":0.7241861820220947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6586132645606995},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6553784608840942},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6172172427177429},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.5695634484291077},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5041102170944214},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5002260208129883},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.47873231768608093},{"id":"https://openalex.org/C85761212","wikidata":"https://www.wikidata.org/wiki/Q1974593","display_name":"Transient response","level":2,"score":0.4647457003593445},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.46132344007492065},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.45620086789131165},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.35231709480285645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26776421070098877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2432117760181427},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22562068700790405},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.18289953470230103},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.16306817531585693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13879728317260742},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcst.2013.2278412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcst.2013.2278412","pdf_url":null,"source":{"id":"https://openalex.org/S133363738","display_name":"IEEE Transactions on Control Systems Technology","issn_l":"1063-6536","issn":["1063-6536","1558-0865","2374-0159"],"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 Control Systems Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G5140810328","display_name":null,"funder_award_id":"21276137","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":19,"referenced_works":["https://openalex.org/W56434051","https://openalex.org/W1968763291","https://openalex.org/W2000651380","https://openalex.org/W2018950694","https://openalex.org/W2030754537","https://openalex.org/W2036887017","https://openalex.org/W2038573408","https://openalex.org/W2044799367","https://openalex.org/W2047841901","https://openalex.org/W2067338244","https://openalex.org/W2081168814","https://openalex.org/W2092253051","https://openalex.org/W2155543518","https://openalex.org/W2165058613","https://openalex.org/W2319940424","https://openalex.org/W2374834613","https://openalex.org/W2471736823","https://openalex.org/W2911546748","https://openalex.org/W6720718998"],"related_works":["https://openalex.org/W1995144903","https://openalex.org/W2089389288","https://openalex.org/W2272518678","https://openalex.org/W2069963169","https://openalex.org/W2052162120","https://openalex.org/W2140267235","https://openalex.org/W2140275217","https://openalex.org/W2992552016","https://openalex.org/W2071101823","https://openalex.org/W2378825930"],"abstract_inverted_index":{"Conventional":[0],"data-driven":[1],"soft":[2,23,44],"sensors":[3,24,45],"commonly":[4],"rely":[5],"on":[6],"the":[7,35,41,48,90,93],"assumption":[8],"that":[9],"processes":[10,18],"are":[11,79],"operating":[12],"at":[13],"steady":[14],"states.":[15],"As":[16],"chemical":[17],"involve":[19],"evident":[20],"dynamics,":[21],"conventional":[22,100],"may":[25],"suffer":[26],"from":[27,88],"transient":[28],"inaccuracy":[29],"and":[30,65,72,92,108],"poor":[31],"robustness.":[32],"In":[33],"addition,":[34],"control":[36],"performance":[37],"is":[38],"unsatisfactory":[39],"when":[40],"outputs":[42],"of":[43,105],"serve":[46],"as":[47],"feedback":[49],"signals":[50],"for":[51],"quality":[52],"control.":[53],"This":[54],"brief":[55],"develops":[56],"a":[57,83],"dynamic":[58,71,106],"soft-sensing":[59],"model":[60,77],"combining":[61],"finite":[62],"impulse":[63],"response":[64],"support":[66],"vector":[67],"machine":[68],"to":[69,99],"describe":[70],"nonlinear":[73],"static":[74,101],"relationships.":[75],"The":[76,86],"parameters":[78],"then":[80],"estimated":[81],"within":[82],"Bayesian":[84],"framework.":[85],"results":[87],"both":[89],"simulated":[91],"industrial":[94],"case":[95],"show":[96],"its":[97],"superiority":[98],"models":[102],"in":[103],"terms":[104],"accuracy":[107],"practical":[109],"applicability.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}