{"id":"https://openalex.org/W2890400916","doi":"https://doi.org/10.1109/access.2018.2871455","title":"Least Squares and Contribution Plot Based Approach for Quality-Related Process Monitoring","display_name":"Least Squares and Contribution Plot Based Approach for Quality-Related Process Monitoring","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2890400916","doi":"https://doi.org/10.1109/access.2018.2871455","mag":"2890400916"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2871455","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2871455","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.2018.2871455","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":"https://orcid.org/0000-0002-8014-6119","affiliations":[{"raw_affiliation_string":"College of Engineering, Bohai University, Jinzhou, China","institution_ids":["https://openalex.org/I97009856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028745327","display_name":"Jianduo Li","orcid":"https://orcid.org/0000-0002-3942-341X"},"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":"Jianduo Li","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":"middle","author":{"id":"https://openalex.org/A5056072904","display_name":"Chengyuan Sun","orcid":"https://orcid.org/0000-0002-7844-2680"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyuan Sun","raw_affiliation_strings":["School of Automation, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"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":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.4987,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.83572499,"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":"54158","last_page":"54166"},"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":0.9957000017166138,"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":0.9918000102043152,"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/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.7832099199295044},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6536830067634583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6402908563613892},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6196866035461426},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6179585456848145},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5810472965240479},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5640982389450073},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49686697125434875},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4920608401298523},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.4604097306728363},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.45302483439445496},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36140352487564087},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3457476496696472},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3392677307128906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3036479353904724},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2797529697418213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23434916138648987},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22854319214820862},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1471845507621765}],"concepts":[{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.7832099199295044},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6536830067634583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6402908563613892},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6196866035461426},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6179585456848145},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5810472965240479},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5640982389450073},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49686697125434875},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4920608401298523},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.4604097306728363},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.45302483439445496},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36140352487564087},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3457476496696472},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3392677307128906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3036479353904724},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2797529697418213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23434916138648987},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22854319214820862},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1471845507621765},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/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.2018.2871455","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2871455","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:d79aa3fb0591448fbe90d51fe614e28a","is_oa":true,"landing_page_url":"https://doaj.org/article/d79aa3fb0591448fbe90d51fe614e28a","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 54158-54166 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2871455","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2871455","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44999998807907104}],"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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W275381288","https://openalex.org/W1576256388","https://openalex.org/W1845002809","https://openalex.org/W1966863755","https://openalex.org/W1977228877","https://openalex.org/W1978994389","https://openalex.org/W1995846733","https://openalex.org/W2001255689","https://openalex.org/W2003313828","https://openalex.org/W2018201690","https://openalex.org/W2039839604","https://openalex.org/W2042810309","https://openalex.org/W2044521614","https://openalex.org/W2044772846","https://openalex.org/W2063823978","https://openalex.org/W2070963892","https://openalex.org/W2079013017","https://openalex.org/W2079577972","https://openalex.org/W2103711750","https://openalex.org/W2108488321","https://openalex.org/W2137015384","https://openalex.org/W2147703419","https://openalex.org/W2155844971","https://openalex.org/W2166042538","https://openalex.org/W2169347809","https://openalex.org/W2194365590","https://openalex.org/W2201228480","https://openalex.org/W2214839515","https://openalex.org/W2293850855","https://openalex.org/W2296067929","https://openalex.org/W2327756241","https://openalex.org/W2343246112","https://openalex.org/W2399774368","https://openalex.org/W2544577786","https://openalex.org/W2547447309","https://openalex.org/W2605495425","https://openalex.org/W2762715547","https://openalex.org/W2777018354","https://openalex.org/W2792372184","https://openalex.org/W3139800088","https://openalex.org/W4239436124","https://openalex.org/W6634657250"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849"],"abstract_inverted_index":{"In":[0],"this":[1,96],"paper,":[2],"a":[3],"new":[4],"contribution":[5,43,81],"plots":[6,82],"approach":[7,29],"based":[8],"on":[9],"least":[10],"squares":[11],"is":[12,98],"proposed":[13,28,94],"to":[14,63],"realize":[15],"fault":[16,34,72,91],"detection":[17,35,73],"and":[18,36,57,70,74],"diagnosis":[19,37,92],"for":[20],"quality-related":[21,33,56,71],"sensor":[22],"faults":[23],"in":[24,67,95],"industrial":[25],"processes.":[26],"The":[27,45],"can":[30],"achieve":[31],"the":[32,60,80,87,90,104],"simultaneously":[38],"using":[39],"an":[40],"indicator":[41],"of":[42,83,89,103],"plots.":[44],"process":[46],"variables":[47],"are":[48,55,65,76],"decomposed":[49],"into":[50],"two":[51],"orthogonal":[52],"subspaces,":[53],"which":[54],"quality-unrelated.":[58],"Then,":[59],"variable":[61],"contributions":[62],"statistics":[64],"calculated":[66],"each":[68],"subspace,":[69],"diagnostics":[75],"achieved":[77],"by":[78,100],"analyzing":[79],"all":[84],"variables.":[85],"Finally,":[86],"validity":[88],"method":[93],"paper":[97],"verified":[99],"simulation":[101],"analysis":[102],"Tennessee-Eastman":[105],"process.":[106]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
