{"id":"https://openalex.org/W4389316117","doi":"https://doi.org/10.1109/ice/itmc58018.2023.10332374","title":"Transformer networks for univariate time series prediction in predictive process control","display_name":"Transformer networks for univariate time series prediction in predictive process control","publication_year":2023,"publication_date":"2023-06-19","ids":{"openalex":"https://openalex.org/W4389316117","doi":"https://doi.org/10.1109/ice/itmc58018.2023.10332374"},"language":"en","primary_location":{"id":"doi:10.1109/ice/itmc58018.2023.10332374","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ice/itmc58018.2023.10332374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061247288","display_name":"Jan Mayer","orcid":"https://orcid.org/0000-0002-4734-6768"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jan Mayer","raw_affiliation_strings":["Technische Universit&#x00E4;t Berlin,Institute for Machine Tools and Factory Management,Berlin,Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit&#x00E4;t Berlin,Institute for Machine Tools and Factory Management,Berlin,Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064081730","display_name":"T. R. Caglar","orcid":null},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Turgut Caglar","raw_affiliation_strings":["Technische Universit&#x00E4;t Berlin,Institute for Machine Tools and Factory Management,Berlin,Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit&#x00E4;t Berlin,Institute for Machine Tools and Factory Management,Berlin,Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108116124","display_name":"Roland Jochem","orcid":"https://orcid.org/0009-0002-6604-0585"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Roland Jochem","raw_affiliation_strings":["Technische Universit&#x00E4;t Berlin,Institute for Machine Tools and Factory Management,Berlin,Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit&#x00E4;t Berlin,Institute for Machine Tools and Factory Management,Berlin,Germany","institution_ids":["https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061247288"],"corresponding_institution_ids":["https://openalex.org/I4577782"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19877949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.979200005531311,"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":0.979200005531311,"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":0.9785000085830688,"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/T10763","display_name":"Digital Transformation in Industry","score":0.9677000045776367,"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/univariate","display_name":"Univariate","score":0.7194956541061401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7121827006340027},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5146971344947815},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.5070977210998535},{"id":"https://openalex.org/keywords/process-control","display_name":"Process control","score":0.44935843348503113},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4279195964336395},{"id":"https://openalex.org/keywords/process-capability","display_name":"Process capability","score":0.4251299202442169},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.414355605840683},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4136883318424225},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.3799176812171936},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34461745619773865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3012771010398865},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.29820573329925537},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.19404292106628418},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16426050662994385},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.12625563144683838}],"concepts":[{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.7194956541061401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7121827006340027},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5146971344947815},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.5070977210998535},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.44935843348503113},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4279195964336395},{"id":"https://openalex.org/C91439571","wikidata":"https://www.wikidata.org/wiki/Q1279773","display_name":"Process capability","level":3,"score":0.4251299202442169},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.414355605840683},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4136883318424225},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.3799176812171936},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34461745619773865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3012771010398865},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.29820573329925537},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.19404292106628418},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16426050662994385},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.12625563144683838},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ice/itmc58018.2023.10332374","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ice/itmc58018.2023.10332374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1946238955","https://openalex.org/W1977230515","https://openalex.org/W1992034105","https://openalex.org/W2004746949","https://openalex.org/W2040871222","https://openalex.org/W2394921245","https://openalex.org/W2570410616","https://openalex.org/W2901770368","https://openalex.org/W2976098773","https://openalex.org/W3002493224","https://openalex.org/W3046666071","https://openalex.org/W3048462146","https://openalex.org/W3085223270","https://openalex.org/W3108462833","https://openalex.org/W3196885798","https://openalex.org/W4206250714","https://openalex.org/W4214509533","https://openalex.org/W4281784047","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6799818102"],"related_works":["https://openalex.org/W2275843868","https://openalex.org/W2060165215","https://openalex.org/W1973471600","https://openalex.org/W2187065407","https://openalex.org/W2286406985","https://openalex.org/W2171447504","https://openalex.org/W2604413613","https://openalex.org/W4361792236","https://openalex.org/W2044568926","https://openalex.org/W2108148093"],"abstract_inverted_index":{"This":[0],"study":[1,123],"aims":[2],"to":[3,25,76,81,156,211,216],"evaluate":[4],"the":[5,18,70,82,91,103,117,134,142,152,178,189,197,200,204,218],"effectiveness":[6],"of":[7,20,100,111,136,144,196,220],"using":[8],"a":[9,96,107,193,209],"transformer":[10,118],"network":[11,119],"for":[12,38],"univariate":[13,28],"time":[14,29],"series":[15,30],"forecasting":[16,31,186],"in":[17,43,79,121,140,188],"context":[19],"predictive":[21,137,166],"process":[22,40,59,67,92,128,138,149,167,191],"control.":[23],"According":[24],"established":[26],"research,":[27],"can":[32,55,169],"serve":[33],"as":[34],"an":[35],"effective":[36,64,125],"method":[37],"predicting":[39,66,127],"quality,":[41],"especially":[42],"situations":[44],"where":[45],"data":[46],"fusion":[47],"or":[48],"sampling":[49],"is":[50,214],"not":[51],"possible.":[52],"These":[53,113],"models":[54],"effectively":[56],"incorporate":[57],"implicit":[58],"knowledge,":[60],"making":[61],"them":[62],"more":[63],"at":[65,126],"quality.":[68,129],"Throughout":[69],"study,":[71],"no":[72],"hypotheses":[73],"were":[74],"found":[75],"be":[77],"disadvantageous":[78],"regards":[80],"fundamental":[83],"research":[84],"topic.":[85],"The":[86],"model":[87],"results":[88],"showed":[89],"that":[90,116],"capability":[93],"index":[94],"had":[95,106],"Mean":[97,108],"Squared":[98,109],"Error":[99,110],"0.0125,":[101],"and":[102,160,176,182,203],"quality":[104],"characteristics":[105],"0.0339.":[112],"findings":[114],"suggest":[115],"used":[120],"this":[122],"was":[124],"In":[130],"addition,":[131],"it":[132],"underscores":[133],"importance":[135],"control":[139,168],"maintaining":[141],"stability":[143],"manufacturing":[145],"processes.":[146],"By":[147],"providing":[148],"managers":[150],"with":[151],"information":[153],"they":[154],"need":[155],"make":[157],"informed":[158],"decisions":[159],"intervene":[161],"before":[162],"production":[163,171,190],"failures":[164],"occur,":[165],"reduce":[170],"costs,":[172],"improve":[173],"resource":[174],"utilization,":[175],"enhance":[177],"interdependencies":[179],"between":[180],"employees":[181],"machines.":[183],"However,":[184],"embedding":[185],"applications":[187],"requires":[192],"deep":[194],"understanding":[195],"underlying":[198],"processes,":[199],"equipment":[201],"used,":[202],"individuals":[205],"involved.":[206],"As":[207],"such,":[208],"commitment":[210],"continuous":[212],"improvement":[213],"essential":[215],"ensuring":[217],"success":[219],"these":[221],"applications.":[222]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
