{"id":"https://openalex.org/W4210562222","doi":"https://doi.org/10.1109/safeprocess52771.2021.9693704","title":"A Quality-related Fault Detection Method for Nonlinear Industrial Processes Based on Mixed Kernel Partial Least Squares","display_name":"A Quality-related Fault Detection Method for Nonlinear Industrial Processes Based on Mixed Kernel Partial Least Squares","publication_year":2021,"publication_date":"2021-12-17","ids":{"openalex":"https://openalex.org/W4210562222","doi":"https://doi.org/10.1109/safeprocess52771.2021.9693704"},"language":"en","primary_location":{"id":"doi:10.1109/safeprocess52771.2021.9693704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess52771.2021.9693704","pdf_url":null,"source":{"id":"https://openalex.org/S4363605570","display_name":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","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/A5004905542","display_name":"Liang Ma","orcid":"https://orcid.org/0000-0002-0513-6770"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Ma","raw_affiliation_strings":["Shunde Graduate School of University of Science and Technology,Beijing,Foshan,China,528399","Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shunde Graduate School of University of Science and Technology,Beijing,Foshan,China,528399","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101534173","display_name":"Xueyi Zhang","orcid":"https://orcid.org/0009-0004-4012-2755"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueyi Zhang","raw_affiliation_strings":["University of Science and Technology Beijing,Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering,Beijing,China,100083"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing,Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering,Beijing,China,100083","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016153320","display_name":"Kaixiang Peng","orcid":"https://orcid.org/0000-0001-8314-3047"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixiang Peng","raw_affiliation_strings":["University of Science and Technology Beijing,Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering,Beijing,China,100083"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing,Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering,Beijing,China,100083","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100459936","display_name":"Jie Dong","orcid":"https://orcid.org/0000-0001-7585-6637"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Dong","raw_affiliation_strings":["University of Science and Technology Beijing,Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering,Beijing,China,100083"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing,Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering,Beijing,China,100083","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.30480623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998000264167786,"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":0.9998000264167786,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9900000095367432,"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/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.8007931709289551},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.741463303565979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6131680011749268},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.6035165786743164},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5898346900939941},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5670735836029053},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5431950688362122},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.5308219790458679},{"id":"https://openalex.org/keywords/process-control","display_name":"Process control","score":0.4675534963607788},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.44359877705574036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2841193675994873},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20810773968696594},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1958276927471161},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.144127756357193}],"concepts":[{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.8007931709289551},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.741463303565979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6131680011749268},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.6035165786743164},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5898346900939941},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5670735836029053},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5431950688362122},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.5308219790458679},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.4675534963607788},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.44359877705574036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2841193675994873},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20810773968696594},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1958276927471161},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.144127756357193},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/safeprocess52771.2021.9693704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess52771.2021.9693704","pdf_url":null,"source":{"id":"https://openalex.org/S4363605570","display_name":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320325365","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W108857541","https://openalex.org/W316557586","https://openalex.org/W1978677160","https://openalex.org/W1998180548","https://openalex.org/W2004186751","https://openalex.org/W2073503722","https://openalex.org/W2139269942","https://openalex.org/W2214839515","https://openalex.org/W2313268156","https://openalex.org/W2520169384","https://openalex.org/W2547447309","https://openalex.org/W2741385306","https://openalex.org/W2854109523","https://openalex.org/W2889017122","https://openalex.org/W2897534289","https://openalex.org/W2906077204","https://openalex.org/W2906305862","https://openalex.org/W3005144796","https://openalex.org/W3029283038","https://openalex.org/W6604406160","https://openalex.org/W6680508596"],"related_works":["https://openalex.org/W1989457222","https://openalex.org/W2158863190","https://openalex.org/W2770989956","https://openalex.org/W2359803370","https://openalex.org/W4386765169","https://openalex.org/W4395700389","https://openalex.org/W2380916892","https://openalex.org/W2229792849","https://openalex.org/W2356011625","https://openalex.org/W4250351468"],"abstract_inverted_index":{"Quality-related":[0],"fault":[1,41,74],"detection":[2,42],"technology":[3],"is":[4,44,84],"an":[5],"important":[6],"mean":[7],"to":[8,87,92],"ensure":[9],"safe":[10],"operation":[11],"and":[12,62],"stable":[13],"quality":[14],"for":[15],"nonlinear":[16,51],"industrial":[17,28,54],"processes,":[18],"which,":[19],"thus,":[20],"have":[21],"recently":[22],"become":[23],"hotspots":[24],"in":[25],"the":[26,50,71,94,97],"process":[27,83],"control":[29],"domain.":[30],"In":[31],"this":[32],"paper,":[33],"a":[34,77],"mixed":[35,59],"kernel":[36,60],"partial":[37],"least":[38],"squares-based":[39],"quality-related":[40],"method":[43],"developed,":[45],"which":[46],"has":[47],"fully":[48],"considered":[49],"characteristics":[52],"of":[53,73,96],"processes.":[55],"Under":[56],"that":[57],"framework,":[58],"functions":[61],"monitoring":[63],"statistics":[64],"are":[65],"reasonably":[66],"designed,":[67],"aiming":[68],"at":[69],"enhancing":[70],"performance":[72],"detection.":[75],"Moreover,":[76],"case":[78],"study":[79],"on":[80],"Tennessee":[81],"Eastman":[82],"finally":[85],"given":[86],"compare":[88],"with":[89],"other":[90],"methods":[91],"demonstrate":[93],"advantages":[95],"new":[98],"approach.":[99]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}