{"id":"https://openalex.org/W3081425684","doi":"https://doi.org/10.1145/3405962.3405994","title":"Adaptive Error Prediction for Production Lines with Unknown Dependencies","display_name":"Adaptive Error Prediction for Production Lines with Unknown Dependencies","publication_year":2020,"publication_date":"2020-06-30","ids":{"openalex":"https://openalex.org/W3081425684","doi":"https://doi.org/10.1145/3405962.3405994","mag":"3081425684"},"language":"en","primary_location":{"id":"doi:10.1145/3405962.3405994","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3405962.3405994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5058990964","display_name":"Sebastian Soller","orcid":"https://orcid.org/0000-0002-2043-1110"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sebastian Soller","raw_affiliation_strings":["Almanara Research GmbH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Almanara Research GmbH","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047807251","display_name":"Matthias Kranz","orcid":"https://orcid.org/0000-0003-3835-4974"},"institutions":[{"id":"https://openalex.org/I4210145666","display_name":"Embedded Systems (United States)","ror":"https://ror.org/04742eh45","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthias Kranz","raw_affiliation_strings":["Chair of Embedded Systems"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Embedded Systems","institution_ids":["https://openalex.org/I4210145666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082862273","display_name":"Gerold Hoelzl","orcid":"https://orcid.org/0000-0002-3792-9257"},"institutions":[{"id":"https://openalex.org/I4210145666","display_name":"Embedded Systems (United States)","ror":"https://ror.org/04742eh45","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gerold Hoelzl","raw_affiliation_strings":["Chair of Embedded Systems"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Embedded Systems","institution_ids":["https://openalex.org/I4210145666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8346,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67899061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"227","last_page":"234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9704999923706055,"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":0.9704999923706055,"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":0.9696000218391418,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9672999978065491,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/downtime","display_name":"Downtime","score":0.8118127584457397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7138630747795105},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.6112539172172546},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.5734075903892517},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5422611236572266},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5419730544090271},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.48065006732940674},{"id":"https://openalex.org/keywords/observational-error","display_name":"Observational error","score":0.4506818652153015},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3560332953929901},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34278401732444763},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2059156894683838},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13586285710334778},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13189515471458435}],"concepts":[{"id":"https://openalex.org/C180591934","wikidata":"https://www.wikidata.org/wiki/Q1253369","display_name":"Downtime","level":2,"score":0.8118127584457397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7138630747795105},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.6112539172172546},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.5734075903892517},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5422611236572266},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5419730544090271},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.48065006732940674},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.4506818652153015},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3560332953929901},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34278401732444763},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2059156894683838},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13586285710334778},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13189515471458435},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3405962.3405994","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3405962.3405994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W197787652","https://openalex.org/W1573560801","https://openalex.org/W1964357740","https://openalex.org/W1967214670","https://openalex.org/W2000999339","https://openalex.org/W2020721183","https://openalex.org/W2040975718","https://openalex.org/W2054379763","https://openalex.org/W2098148222","https://openalex.org/W2111075016","https://openalex.org/W2125283600","https://openalex.org/W2181523240","https://openalex.org/W2499307501","https://openalex.org/W2736064258","https://openalex.org/W2811507150","https://openalex.org/W2948483526","https://openalex.org/W2978850878","https://openalex.org/W3039852820","https://openalex.org/W4240711023"],"related_works":["https://openalex.org/W2046276983","https://openalex.org/W2954002293","https://openalex.org/W2892741875","https://openalex.org/W2164372000","https://openalex.org/W2078264086","https://openalex.org/W2109143577","https://openalex.org/W1985537075","https://openalex.org/W2161582432","https://openalex.org/W1972812226","https://openalex.org/W187383352"],"abstract_inverted_index":{"Forecasting":[0],"or":[1,90,140],"predicting":[2],"errors":[3,49,80,86,89,111,127],"can":[4],"dramatically":[5],"reduce":[6],"the":[7,22,25,70,74,77,120,125],"downtime":[8],"of":[9,69,79,85,117,124,144],"machines":[10],"in":[11,52,138,147],"industrial":[12],"settings":[13],"and":[14,101],"even":[15],"allow":[16],"to":[17,31,107,134],"take":[18],"counteractions":[19],"long":[20],"before":[21],"error":[23,58],"affects":[24],"production":[26,38],"system.":[27],"A":[28],"forecast":[29],"system":[30,71,130],"predict":[32],"upcoming":[33],"critical":[34],"values":[35],"for":[36],"identical":[37],"lines":[39],"under":[40],"different":[41],"environmental":[42],"circumstances":[43],"is":[44],"proposed.":[45],"We":[46],"focus":[47],"on":[48],"that":[50,81],"result":[51],"multiple":[53,135],"erroneous":[54,136,145],"work":[55],"pieces.":[56],"These":[57,110],"patterns":[59],"need":[60,114],"manual":[61],"corrections":[62],"by":[63,98,119],"a":[64,141],"machine":[65,121],"controller.":[66,122],"An":[67],"analysis":[68],"observed":[72,126,149],"gathered":[73],"information":[75],"about":[76],"types":[78],"are":[82,87,95,128],"observable.":[83],"30%":[84],"measurement":[88],"single":[91],"faulty":[92],"work-pieces":[93,100,137,146],"which":[94,132],"not":[96,103,113],"influenced":[97],"previous":[99],"do":[102,112],"show":[104],"any":[105,115],"indication":[106],"preceding":[108],"work-pieces.":[109],"type":[116],"action":[118],"70%":[123],"continuous":[129],"deviations":[131],"lead":[133],"order":[139],"high":[142],"percentage":[143],"an":[148],"time":[150],"frame.":[151]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}