{"id":"https://openalex.org/W3084010608","doi":"https://doi.org/10.3390/sym12091472","title":"Pattern Recognition of Different Window Size Control Charts Based on Convolutional Neural Network and Information Fusion","display_name":"Pattern Recognition of Different Window Size Control Charts Based on Convolutional Neural Network and Information Fusion","publication_year":2020,"publication_date":"2020-09-08","ids":{"openalex":"https://openalex.org/W3084010608","doi":"https://doi.org/10.3390/sym12091472","mag":"3084010608"},"language":"en","primary_location":{"id":"doi:10.3390/sym12091472","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym12091472","pdf_url":"https://www.mdpi.com/2073-8994/12/9/1472/pdf?version=1599556443","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/12/9/1472/pdf?version=1599556443","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057947950","display_name":"Tao Zan","orcid":"https://orcid.org/0000-0001-6263-9553"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zan","raw_affiliation_strings":["Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chaoyang District, Beijing 100124, China"],"raw_orcid":"https://orcid.org/0000-0001-6263-9553","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chaoyang District, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050312760","display_name":"Zifeng Su","orcid":"https://orcid.org/0000-0003-2482-2917"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zifeng Su","raw_affiliation_strings":["Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chaoyang District, Beijing 100124, China"],"raw_orcid":"https://orcid.org/0000-0003-2482-2917","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chaoyang District, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054890909","display_name":"Zhihao Liu","orcid":"https://orcid.org/0000-0002-1914-3728"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Liu","raw_affiliation_strings":["Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chaoyang District, Beijing 100124, China"],"raw_orcid":"https://orcid.org/0000-0002-1914-3728","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chaoyang District, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004473227","display_name":"Deying Chen","orcid":"https://orcid.org/0000-0002-3675-474X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyin Chen","raw_affiliation_strings":["Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chaoyang District, Beijing 100124, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chaoyang District, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340891","display_name":"Min Wang","orcid":"https://orcid.org/0000-0002-1580-6387"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Wang","raw_affiliation_strings":["Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chaoyang District, Beijing 100124, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chaoyang District, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005635774","display_name":"Xiangsheng Gao","orcid":"https://orcid.org/0000-0001-5947-5826"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangsheng Gao","raw_affiliation_strings":["Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chaoyang District, Beijing 100124, China"],"raw_orcid":"https://orcid.org/0000-0001-5947-5826","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chaoyang District, Beijing 100124, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5050312760"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":1.1417,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.82280105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"12","issue":"9","first_page":"1472","last_page":"1472"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.974399983882904,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-science","display_name":"Computer science","score":0.8034440279006958},{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.7556991577148438},{"id":"https://openalex.org/keywords/statistical-process-control","display_name":"Statistical process control","score":0.708943784236908},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6517188549041748},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.617184579372406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5960012674331665},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45868515968322754},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.4525552988052368},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43509265780448914},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4335729777812958},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.42437681555747986},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34796565771102905},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14993718266487122},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10405495762825012}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8034440279006958},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.7556991577148438},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.708943784236908},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6517188549041748},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.617184579372406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5960012674331665},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45868515968322754},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.4525552988052368},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43509265780448914},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4335729777812958},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.42437681555747986},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34796565771102905},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14993718266487122},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10405495762825012},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym12091472","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym12091472","pdf_url":"https://www.mdpi.com/2073-8994/12/9/1472/pdf?version=1599556443","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b07e68128c9844748cd8ef3b8debd272","is_oa":true,"landing_page_url":"https://doaj.org/article/b07e68128c9844748cd8ef3b8debd272","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":"Symmetry, Vol 12, Iss 9, p 1472 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/12/9/1472/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym12091472","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry; Volume 12; Issue 9; Pages: 1472","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym12091472","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym12091472","pdf_url":"https://www.mdpi.com/2073-8994/12/9/1472/pdf?version=1599556443","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3084010608.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W227949679","https://openalex.org/W277331452","https://openalex.org/W345449342","https://openalex.org/W1898972423","https://openalex.org/W1968732018","https://openalex.org/W1980524803","https://openalex.org/W2015287556","https://openalex.org/W2015974984","https://openalex.org/W2034043750","https://openalex.org/W2038585870","https://openalex.org/W2047073989","https://openalex.org/W2049597952","https://openalex.org/W2051745706","https://openalex.org/W2053157736","https://openalex.org/W2065953269","https://openalex.org/W2068083201","https://openalex.org/W2069203968","https://openalex.org/W2084443674","https://openalex.org/W2109599716","https://openalex.org/W2157202423","https://openalex.org/W2170505850","https://openalex.org/W2345852405","https://openalex.org/W2487354504","https://openalex.org/W2734669076","https://openalex.org/W2750146274","https://openalex.org/W2765824636","https://openalex.org/W2799400737","https://openalex.org/W2911139005","https://openalex.org/W2920966169","https://openalex.org/W2926399784","https://openalex.org/W2939733432","https://openalex.org/W2964206580","https://openalex.org/W2987162758","https://openalex.org/W2998246993","https://openalex.org/W3037248615","https://openalex.org/W6743168308"],"related_works":["https://openalex.org/W2346052352","https://openalex.org/W2181685535","https://openalex.org/W2260512244","https://openalex.org/W2752333462","https://openalex.org/W2080586055","https://openalex.org/W2051163852","https://openalex.org/W3106703763","https://openalex.org/W2911502181","https://openalex.org/W161582973","https://openalex.org/W2040862285"],"abstract_inverted_index":{"Control":[0],"charts":[1,162,274],"are":[2,151,168,180,198],"an":[3],"important":[4],"tool":[5],"for":[6,222,225],"statistical":[7,149],"process":[8,38],"control":[9,29,59,69,134,161,229,273],"(SPC).":[10],"SPC":[11],"has":[12,263],"the":[13,20,37,54,84,96,101,128,133,138,155,160,171,185,213,238,243,261,268],"characteristics":[14],"of":[15,50,163,208,255,272],"fluctuation":[16],"and":[17,34,46,94,116,147,176,194,204,231],"asymmetry":[18],"in":[19,40,100,266],"symmetrical":[21],"coordinate":[22],"system.":[23],"It":[24],"is":[25,39,49,108,124,188,235],"a":[26,41,68,104,195,256],"graph":[27],"with":[28,71,78,275],"limits":[30],"used":[31,125,221],"to":[32,53,83,90,126,153,200],"analyze":[33],"judge":[35],"whether":[36],"stable":[42],"state.":[43],"Its":[44],"fast":[45],"accurate":[47],"identification":[48],"great":[51],"significance":[52],"actual":[55,85],"production.":[56],"The":[57,206,253],"existing":[58],"chart":[60,70],"pattern":[61,223,269],"recognition":[62,214,224,233,244,270],"(CCPR)":[63],"method":[64,107,215,245,262],"can":[65,219],"only":[66],"recognize":[67],"fixed":[72],"window":[73,80,166,227,277],"size,":[74],"but":[75],"cannot":[76],"adjust":[77],"different":[79,165,226,276],"sizes":[81,167],"according":[82],"production":[86],"needs.":[87],"In":[88,157,241],"order":[89],"solve":[91],"these":[92],"problems":[93],"improve":[95],"quality":[97],"management":[98],"effect":[99],"manufacturing":[102],"process,":[103],"new":[105],"CCPR":[106,186],"proposed":[109],"based":[110,216,246],"on":[111,217,247],"convolutional":[112],"neural":[113],"network":[114],"(CNN)":[115],"information":[117,248],"fusion.":[118],"After":[119],"undergoing":[120],"feature":[121,130],"learning,":[122],"CNN":[123,218],"extract":[127],"best":[129],"set":[131,189],"from":[132],"chart,":[135],"while":[136],"at":[137],"same":[139],"time,":[140],"expert":[141],"features":[142,146],"(including":[143],"one":[144],"shape":[145],"four":[148],"features)":[150],"fused":[152],"complete":[154],"CCPR.":[156],"this":[158],"paper,":[159],"10":[164],"generated":[169],"by":[170],"Monte":[172],"Carlo":[173],"simulation":[174,192,209],"method,":[175],"various":[177],"data":[178],"patterns":[179],"drawn":[181],"into":[182],"images,":[183],"then":[184],"model":[187],"up.":[190],"Finally,":[191],"experiments":[193,210],"real":[196,257],"example":[197,258],"addressed":[199],"validate":[201],"its":[202,232],"feasibility":[203],"effectiveness.":[205],"results":[207],"demonstrate":[211],"that":[212,260],"be":[220],"size":[228],"charts,":[230],"accuracy":[234],"higher":[236],"than":[237],"traditional":[239],"ones.":[240],"addition,":[242],"fusion":[249],"performs":[250],"much":[251],"better.":[252],"result":[254],"shows":[259],"potential":[264],"application":[265],"solving":[267],"problem":[271],"sizes.":[278]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2020-09-14T00:00:00"}
