{"id":"https://openalex.org/W3007690000","doi":"https://doi.org/10.1109/access.2020.2976795","title":"Features Fusion Exaction and KELM With Modified Grey Wolf Optimizer for Mixture Control Chart Patterns Recognition","display_name":"Features Fusion Exaction and KELM With Modified Grey Wolf Optimizer for Mixture Control Chart Patterns Recognition","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3007690000","doi":"https://doi.org/10.1109/access.2020.2976795","mag":"3007690000"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2976795","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2976795","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09016178.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://ieeexplore.ieee.org/ielx7/6287639/8948470/09016178.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100402876","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0002-0905-9303"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-0905-9303","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002646056","display_name":"Xunjie Zhang","orcid":"https://orcid.org/0000-0002-1436-5081"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xunjie Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009878211","display_name":"H. Wang","orcid":"https://orcid.org/0000-0001-5864-208X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibo Wang","raw_affiliation_strings":["School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055475812","display_name":"Guowen Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guowen Xiong","raw_affiliation_strings":["School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100752414","display_name":"Wenming Cheng","orcid":"https://orcid.org/0000-0002-9574-9481"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming Cheng","raw_affiliation_strings":["School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Chengdu, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.1866,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.87275995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"42469","last_page":"42480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9976000189781189,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9807000160217285,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7148652076721191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6244078278541565},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5695585608482361},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5228897929191589},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4173700511455536},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36069440841674805}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7148652076721191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6244078278541565},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5695585608482361},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5228897929191589},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4173700511455536},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36069440841674805},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":2,"locations":[{"id":"doi:10.1109/access.2020.2976795","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2976795","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09016178.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:738ded51a6484f8d90ce3a38c6655317","is_oa":true,"landing_page_url":"https://doaj.org/article/738ded51a6484f8d90ce3a38c6655317","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 8, Pp 42469-42480 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2976795","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2976795","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09016178.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4319574977","display_name":null,"funder_award_id":"51675450","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"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3007690000.pdf","grobid_xml":"https://content.openalex.org/works/W3007690000.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W398397131","https://openalex.org/W1444952417","https://openalex.org/W1966713913","https://openalex.org/W1966863755","https://openalex.org/W1969079252","https://openalex.org/W2019950298","https://openalex.org/W2025735965","https://openalex.org/W2030242308","https://openalex.org/W2061438946","https://openalex.org/W2068290315","https://openalex.org/W2086917983","https://openalex.org/W2101178528","https://openalex.org/W2114471530","https://openalex.org/W2134603844","https://openalex.org/W2149803014","https://openalex.org/W2167122710","https://openalex.org/W2227948929","https://openalex.org/W2278165553","https://openalex.org/W2341826667","https://openalex.org/W2345852405","https://openalex.org/W2487354504","https://openalex.org/W2529496964","https://openalex.org/W2548698072","https://openalex.org/W2565946545","https://openalex.org/W2593487812","https://openalex.org/W2615743202","https://openalex.org/W2766986120","https://openalex.org/W2789782795","https://openalex.org/W2799400737","https://openalex.org/W2882037495","https://openalex.org/W2889385573","https://openalex.org/W2896255934","https://openalex.org/W2901864827","https://openalex.org/W2906850869","https://openalex.org/W2962004477","https://openalex.org/W6679935922","https://openalex.org/W6729302224"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Control":[0],"charts":[1,43],"are":[2],"significant":[3,113],"diagnostic":[4],"tools":[5],"to":[6,27,48,103,118,135,161],"detect":[7],"and":[8,69,88,91,108,126,147,171],"identify":[9],"the":[10,14,19,28,64,85,95,105,123,127,136,144,177],"quality":[11],"fluctuation":[12],"of":[13,30,115,139,151,181],"complex":[15],"industrial":[16],"process.":[17],"In":[18],"practical":[20],"production":[21],"process,":[22],"attention":[23],"is":[24,47,117,133,159],"being":[25],"paid":[26],"monitoring":[29],"mixture":[31,56,182],"control":[32,42,57,183],"charts,":[33],"which":[34,142],"usually":[35],"coupled":[36],"by":[37],"two":[38],"or":[39],"more":[40,173],"basic":[41],"modes.":[44],"This":[45],"research":[46],"present":[49],"a":[50,163],"hybrid":[51],"pattern":[52,178],"recognition":[53,166,179],"method":[54,61],"for":[55],"charts.":[58,184],"The":[59,81,156],"proposed":[60,157],"mainly":[62],"covers":[63],"feature":[65,106],"fusion":[66],"extraction":[67],"(FFE)":[68],"kernel":[70,99,128],"extreme":[71],"learning":[72],"machine":[73],"(KELM)":[74],"with":[75],"modified":[76],"grey":[77,153],"wolf":[78,154],"optimizer":[79],"(MGWO).":[80],"FFE":[82],"module":[83],"applies":[84],"original":[86],"data":[87],"their":[89],"shape":[90],"statistical":[92],"features":[93],"as":[94],"features,":[96],"then":[97],"uses":[98],"entropy":[100],"component":[101],"analysis":[102],"reduce":[104],"dimension":[107],"extract":[109],"valid":[110],"features.":[111],"One":[112],"difficulty":[114],"KELM":[116,140],"get":[119],"suitable":[120],"parameters":[121],"like":[122],"penalty":[124],"parameter":[125,130],"function":[129],"value.":[131],"MGWO":[132],"established":[134],"optimal":[137],"tuning":[138],"parameters,":[141],"improves":[143],"population":[145],"initialization":[146],"nonlinear":[148],"convergence":[149],"factor":[150],"traditional":[152],"optimizer.":[155],"methodology":[158],"promising":[160],"obtain":[162],"better":[164],"classification":[165],"rate,":[167],"less":[168],"computational":[169],"time":[170],"achieves":[172],"stable":[174],"results":[175],"in":[176],"problem":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}