{"id":"https://openalex.org/W20162155","doi":null,"title":"A Bayesian Approach for Recognition of Control Chart Patterns","display_name":"A Bayesian Approach for Recognition of Control Chart Patterns","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W20162155","mag":"20162155"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.901.9574","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.901.9574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ijiepr.iust.ac.ir/files/site1/user_files_2hops2/eng/owliams-A-10-350-1-e890bbf.pdf","raw_type":"text"},"volume":null,"type":"article","indexed_in":["doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doaj.org/article/2cd0e4616a3541c7a67c6aef8fc46a05","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080333947","display_name":"Mehdi Kabiri Naeini","orcid":"https://orcid.org/0000-0001-8859-7013","observed_orcids":["https://orcid.org/0000-0001-8859-7013"]},"institutions":[{"id":"https://openalex.org/I112536369","display_name":"Yazd University","ror":"https://ror.org/02x99ac45","country_code":"IR","type":"education","lineage":["https://openalex.org/I112536369"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mehdi Kabiri Naeini","raw_affiliation_strings":["Yazd University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yazd University","institution_ids":["https://openalex.org/I112536369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071450459","display_name":"Mohammad Saleh Owlia","orcid":"https://orcid.org/0000-0002-6608-2446","observed_orcids":["https://orcid.org/0000-0002-6608-2446"]},"institutions":[{"id":"https://openalex.org/I112536369","display_name":"Yazd University","ror":"https://ror.org/02x99ac45","country_code":"IR","type":"education","lineage":["https://openalex.org/I112536369"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Saleh Owlia","raw_affiliation_strings":["Yazd University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yazd University","institution_ids":["https://openalex.org/I112536369"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089287984","display_name":"Mohammad Saber Fallah Nezhad","orcid":"https://orcid.org/0000-0003-3343-2769","observed_orcids":["https://orcid.org/0000-0003-3343-2769"]},"institutions":[{"id":"https://openalex.org/I112536369","display_name":"Yazd University","ror":"https://ror.org/02x99ac45","country_code":"IR","type":"education","lineage":["https://openalex.org/I112536369"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Saber Fallahnezhad","raw_affiliation_strings":["Yazd University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yazd University","institution_ids":["https://openalex.org/I112536369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I112536369"],"apc_list":null,"apc_paid":null,"fwci":1.0896,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79643278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9994999766349792,"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":0.9994999766349792,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.00039999998989515007,"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/T12905","display_name":"Management Systems and Quality Improvement","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/control-chart-pattern-recognition","display_name":"control chart pattern recognition","score":0.9739999771118164},{"id":"https://openalex.org/keywords/maximum-likelihood-estimation","display_name":"maximum likelihood estimation","score":0.8970000147819519},{"id":"https://openalex.org/keywords/statistical-process-monitoring","display_name":"statistical process monitoring","score":0.6069999933242798},{"id":"https://openalex.org/keywords/control-limits","display_name":"control limits","score":0.4129999876022339},{"id":"https://openalex.org/keywords/quality-control","display_name":"quality control","score":0.3529999852180481}],"concepts":[{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.7172051668167114},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.651378870010376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5286731719970703},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.4816640615463257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4181515574455261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3864337205886841},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3623390197753906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3387490510940552},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3087810277938843},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24142670631408691},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0654420554637909},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0483609139919281}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.901.9574","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.901.9574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ijiepr.iust.ac.ir/files/site1/user_files_2hops2/eng/owliams-A-10-350-1-e890bbf.pdf","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:2cd0e4616a3541c7a67c6aef8fc46a05","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/2cd0e4616a3541c7a67c6aef8fc46a05","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,"listed_in":[],"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":"International Journal of Industrial Engineering and Production Research, Vol 23, Iss 3, Pp 223-230 (2012)","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:doaj.org/article:2cd0e4616a3541c7a67c6aef8fc46a05","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/2cd0e4616a3541c7a67c6aef8fc46a05","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,"listed_in":[],"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":"International Journal of Industrial Engineering and Production Research, Vol 23, Iss 3, Pp 223-230 (2012)","raw_type":"article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W4872675","https://openalex.org/W47305173","https://openalex.org/W1971972311","https://openalex.org/W2020038046","https://openalex.org/W2021522096","https://openalex.org/W2024962697","https://openalex.org/W2030715034","https://openalex.org/W2035459370","https://openalex.org/W2045619934","https://openalex.org/W2051652228","https://openalex.org/W2054208738","https://openalex.org/W2061646126","https://openalex.org/W2086684276","https://openalex.org/W2086917983","https://openalex.org/W2088882986","https://openalex.org/W2091114543","https://openalex.org/W2093504142","https://openalex.org/W2118722030","https://openalex.org/W2125290375","https://openalex.org/W2159425213","https://openalex.org/W2262501609","https://openalex.org/W2288455995","https://openalex.org/W2791282478","https://openalex.org/W2901300960"],"related_works":["https://openalex.org/W861918617","https://openalex.org/W1995542898","https://openalex.org/W2132706350","https://openalex.org/W2042528732","https://openalex.org/W7096515113","https://openalex.org/W2069665025","https://openalex.org/W2189123103","https://openalex.org/W206611194","https://openalex.org/W2094544771","https://openalex.org/W2051745706"],"abstract_inverted_index":{"Control":[0],"chart":[1,67],"pattern":[2,87,98,124],"(CCP)":[3],"recognition":[4,125,139],"techniques":[5,20],"are":[6,21,40,47,106],"widely":[7],"used":[8],"to":[9],"identify":[10],"the":[11,28,44,52,77,82,94,111,119,158],"potential":[12],"process":[13,39],"problems.":[14],"Recently,":[15],"artificial":[16],"neural":[17],"network":[18],"(ANN)\u2013based":[19],"popular":[22],"for":[23,62,147],"this":[24,55,70,132],"problem.":[25],"However,":[26],"finding":[27],"suitable":[29],"architecture":[30],"of":[31,86,113,131,157],"an":[32],"ANN-based":[33],"CCP":[34,138],"recognizer":[35],"and":[36,43,64,92,154],"its":[37],"training":[38],"time":[41],"consuming":[42],"obtained":[45,91],"results":[46,150],"not":[48],"interpretable.":[49],"To":[50],"facilitate":[51],"research":[53],"gap,":[54],"paper":[56],"presents":[57],"a":[58,114,123],"simple":[59],"statistical":[60],"approach":[61,133],"detecting":[63],"identifying":[65],"control":[66,121],"patterns.":[68],"In":[69],"method,":[71],"by":[72],"taking":[73],"new":[74],"observations":[75],"on":[76,96],"quality":[78],"characteristic":[79],"under":[80],"consideration,":[81],"Maximum":[83],"Likelihood":[84],"Estimator":[85],"parameters":[88],"is":[89,99,127,141],"first":[90],"then":[93],"Beliefs":[95,105],"each":[97],"determined.":[100],"Then":[101],"using":[102],"Bayes\u2019":[103],"rule,":[104],"updated":[107],"recursively.":[108],"Finally,":[109],"when":[110],"amount":[112],"derived":[115],"statistic":[116],"falls":[117],"outside":[118],"calculated":[120],"interval":[122],"signal":[126],"issued.":[128],"The":[129],"advantage":[130],"comparing":[134],"with":[135],"other":[136],"existing":[137],"methods":[140],"that":[142],"it":[143],"has":[144],"no":[145],"need":[146],"training.":[148],"Simulation":[149],"show":[151],"high":[152],"accuracy":[153],"satisfactory":[155],"speed":[156],"proposed":[159],"method.":[160]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}
