{"id":"https://openalex.org/W2789285114","doi":"https://doi.org/10.1109/access.2018.2793281","title":"Quality-Related Fault Detection and Diagnosis Based on Total Principal Component Regression Model","display_name":"Quality-Related Fault Detection and Diagnosis Based on Total Principal Component Regression Model","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2789285114","doi":"https://doi.org/10.1109/access.2018.2793281","mag":"2789285114"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2793281","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2793281","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2793281","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100451760","display_name":"Guang Wang","orcid":"https://orcid.org/0000-0002-8014-6119"},"institutions":[{"id":"https://openalex.org/I97009856","display_name":"Bohai University","ror":"https://ror.org/01kdzej58","country_code":"CN","type":"education","lineage":["https://openalex.org/I97009856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Wang","raw_affiliation_strings":["College of Engineering, Bohai University, Jinzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Bohai University, Jinzhou, China","institution_ids":["https://openalex.org/I97009856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087521624","display_name":"Jianfang Jiao","orcid":"https://orcid.org/0000-0002-6296-4652"},"institutions":[{"id":"https://openalex.org/I97009856","display_name":"Bohai University","ror":"https://ror.org/01kdzej58","country_code":"CN","type":"education","lineage":["https://openalex.org/I97009856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfang Jiao","raw_affiliation_strings":["College of Engineering, Bohai University, Jinzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6296-4652","affiliations":[{"raw_affiliation_string":"College of Engineering, Bohai University, Jinzhou, China","institution_ids":["https://openalex.org/I97009856"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I97009856"],"apc_list":{"value":2075,"currency":"USD","value_usd":2075},"apc_paid":{"value":2075,"currency":"USD","value_usd":2075},"fwci":2.3873,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.88301117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"10341","last_page":"10347"},"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9872999787330627,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9699000120162964,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.8054618835449219},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.7521653175354004},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7379295825958252},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.698127269744873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6399046182632446},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6363579630851746},{"id":"https://openalex.org/keywords/principal-component-regression","display_name":"Principal component regression","score":0.5602557063102722},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5154586434364319},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4990520477294922},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4864892363548279},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48225337266921997},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4738600552082062},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4453997313976288},{"id":"https://openalex.org/keywords/fault-model","display_name":"Fault model","score":0.4278542399406433},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.412462443113327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4102003574371338},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36315470933914185},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3113025426864624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2546222507953644},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11748409271240234}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8054618835449219},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.7521653175354004},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7379295825958252},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.698127269744873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6399046182632446},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6363579630851746},{"id":"https://openalex.org/C74887250","wikidata":"https://www.wikidata.org/wiki/Q3455892","display_name":"Principal component regression","level":3,"score":0.5602557063102722},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5154586434364319},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4990520477294922},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4864892363548279},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48225337266921997},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4738600552082062},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4453997313976288},{"id":"https://openalex.org/C167391956","wikidata":"https://www.wikidata.org/wiki/Q1401211","display_name":"Fault model","level":3,"score":0.4278542399406433},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.412462443113327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4102003574371338},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36315470933914185},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3113025426864624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2546222507953644},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11748409271240234},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2793281","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2793281","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a8c6cf6622b4426586416331307d8956","is_oa":true,"landing_page_url":"https://doaj.org/article/a8c6cf6622b4426586416331307d8956","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 10341-10347 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2793281","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2793281","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G2660160402","display_name":null,"funder_award_id":"61503039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5708504989","display_name":null,"funder_award_id":"61503040","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":33,"referenced_works":["https://openalex.org/W771331471","https://openalex.org/W1845002809","https://openalex.org/W1966863755","https://openalex.org/W1970537494","https://openalex.org/W1988169309","https://openalex.org/W1992546074","https://openalex.org/W2002268936","https://openalex.org/W2002378802","https://openalex.org/W2013627932","https://openalex.org/W2018201690","https://openalex.org/W2039839604","https://openalex.org/W2052828853","https://openalex.org/W2076769400","https://openalex.org/W2079013017","https://openalex.org/W2085249770","https://openalex.org/W2092081051","https://openalex.org/W2103711750","https://openalex.org/W2116492734","https://openalex.org/W2128921897","https://openalex.org/W2142704389","https://openalex.org/W2158958729","https://openalex.org/W2214839515","https://openalex.org/W2217088832","https://openalex.org/W2296067929","https://openalex.org/W2296641122","https://openalex.org/W2313268156","https://openalex.org/W2413579316","https://openalex.org/W2547447309","https://openalex.org/W2560143868","https://openalex.org/W2567394033","https://openalex.org/W2586354808","https://openalex.org/W2741385306","https://openalex.org/W3148363979"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W3172436493","https://openalex.org/W4287164812","https://openalex.org/W2957492749","https://openalex.org/W1887135636","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849","https://openalex.org/W4285605394"],"abstract_inverted_index":{"This":[0],"paper":[1,89],"investigates":[2],"the":[3,73,76,110,113],"issue":[4],"of":[5,75,112],"quality-related":[6,60],"fault":[7,58,65,105],"detection":[8],"and":[9],"diagnosis.":[10,106],"A":[11],"total":[12],"principal":[13],"component":[14],"regression":[15],"(TPCR)":[16],"model":[17,102],"is":[18,26,52,59,66,69,98],"build,":[19],"based":[20],"on":[21],"which":[22,97],"process":[23],"variables":[24],"space":[25,41],"divided":[27],"into":[28,100],"two":[29,33],"orthogonal":[30],"subspaces.":[31],"Subsequently,":[32],"statistical":[34],"indices":[35],"with":[36,39],"different":[37],"correlations":[38],"output":[40],"are":[42],"designed":[43],"in":[44],"each":[45],"subspace,":[46],"respectively.":[47],"An":[48],"appropriate":[49],"decision":[50],"logic":[51],"used":[53],"to":[54,71,79],"determine":[55],"whether":[56],"a":[57,64],"or":[61],"not.":[62],"Once":[63],"detected,":[67],"it":[68],"necessary":[70],"explore":[72],"cause":[74],"failure.":[77],"Due":[78],"traditional":[80],"contribution":[81],"plots":[82],"often":[83],"provide":[84],"inaccurate":[85],"diagnostic":[86],"result,":[87],"this":[88],"introduces":[90],"an":[91],"improved":[92],"method":[93],"without":[94],"smearing":[95],"effect,":[96],"integrated":[99],"TPCR":[101],"for":[103],"accurate":[104],"Simulation":[107],"results":[108],"demonstrate":[109],"effectiveness":[111],"proposed":[114],"method.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
