{"id":"https://openalex.org/W4406612707","doi":"https://doi.org/10.1109/wsc63780.2024.10838868","title":"Combining Simulation and Recurrent Neural Networks for Model-Based Condition Monitoring of Machines","display_name":"Combining Simulation and Recurrent Neural Networks for Model-Based Condition Monitoring of Machines","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406612707","doi":"https://doi.org/10.1109/wsc63780.2024.10838868"},"language":"en","primary_location":{"id":"doi:10.1109/wsc63780.2024.10838868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc63780.2024.10838868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Winter Simulation Conference (WSC)","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/A5002515447","display_name":"Alexander Wuttke","orcid":null},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Wuttke","raw_affiliation_strings":["TU Dortmund University,Dept. IT in Production and Logistics,Dortmund,GERMANY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Dortmund University,Dept. IT in Production and Logistics,Dortmund,GERMANY","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056931407","display_name":"Markus Rabe","orcid":"https://orcid.org/0000-0002-7190-9321"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Rabe","raw_affiliation_strings":["TU Dortmund University,Dept. IT in Production and Logistics,Dortmund,GERMANY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Dortmund University,Dept. IT in Production and Logistics,Dortmund,GERMANY","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011033580","display_name":"Joachim Hunker","orcid":"https://orcid.org/0000-0002-2715-6430"},"institutions":[{"id":"https://openalex.org/I4210163630","display_name":"Fraunhofer Institute for Software and Systems Engineering","ror":"https://ror.org/058kjq542","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210163630","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Joachim Hunker","raw_affiliation_strings":["Fraunhofer Institute for Software and Systems Engineering,Dortmund,GERMANY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Software and Systems Engineering,Dortmund,GERMANY","institution_ids":["https://openalex.org/I4210163630"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075314413","display_name":"Jan-Philipp Diepenbrock","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088287","display_name":"Klinik Preetz","ror":"https://ror.org/0070x6033","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210088287"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jan-Philipp Diepenbrock","raw_affiliation_strings":["IVA Schmetz GmbH,Menden,GERMANY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IVA Schmetz GmbH,Menden,GERMANY","institution_ids":["https://openalex.org/I4210088287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40461773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1551","last_page":"1562"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9779000282287598,"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":0.9779000282287598,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9656000137329102,"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/T13644","display_name":"Control Systems in Engineering","score":0.9602000117301941,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.6892478466033936},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6064982414245605},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4809502959251404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4418621063232422},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32216936349868774}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6892478466033936},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6064982414245605},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4809502959251404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4418621063232422},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32216936349868774}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wsc63780.2024.10838868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc63780.2024.10838868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/509797","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/509797","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W575847903","https://openalex.org/W2045186954","https://openalex.org/W2136105491","https://openalex.org/W2908441554","https://openalex.org/W3006087551","https://openalex.org/W3019560754","https://openalex.org/W3033917083","https://openalex.org/W3146551586","https://openalex.org/W3148941569","https://openalex.org/W4231197448","https://openalex.org/W4232533539","https://openalex.org/W4244064982","https://openalex.org/W4285306189","https://openalex.org/W4382203079","https://openalex.org/W4382677476","https://openalex.org/W4391381448","https://openalex.org/W4391381735","https://openalex.org/W6739901393","https://openalex.org/W6910546390"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Maintenance":[0],"is":[1,40],"pivotal":[2],"in":[3,46,117,126],"industry,":[4],"with":[5,28,77],"condition-based":[6],"maintenance":[7],"emerging":[8],"as":[9,102],"a":[10,110],"key":[11],"strategy.":[12],"This":[13,71],"involves":[14],"monitoring":[15],"the":[16,82,103],"machine":[17,63,78,87,104],"condition":[18,95],"through":[19],"sensor":[20],"data":[21,27,89],"analysis.":[22],"Model-based":[23],"approaches":[24],"compare":[25],"observed":[26],"expected":[29],"values":[30],"from":[31,69],"models,":[32,44,80],"which":[33,45,122],"requires":[34],"high-quality":[35],"models.":[36],"An":[37],"established":[38],"method":[39],"to":[41,57,91],"use":[42,120],"simulation":[43,75],"many":[47],"cases":[48],"produce":[49],"good":[50],"results":[51],"but":[52],"may":[53],"lack":[54],"precision":[55],"due":[56],"uncertainties.":[58],"Alternatively,":[59],"models":[60,76,93],"created":[61],"by":[62],"learning":[64,79,105],"can":[65],"detect":[66],"patterns":[67,90],"directly":[68],"data.":[70],"paper":[72,108],"proposes":[73],"combining":[74],"leveraging":[81],"simulation's":[83],"a-priori":[84],"knowledge":[85],"and":[86,113],"learning's":[88],"enhance":[92],"for":[94],"monitoring.":[96],"Recurrent":[97],"neural":[98],"networks":[99],"are":[100],"suggested":[101],"method.":[106],"The":[107],"outlines":[109],"systematic":[111],"approach":[112],"demonstrates":[114],"its":[115],"application":[116],"an":[118],"industrial":[119,127],"case,":[121],"investigates":[123],"vacuum":[124],"processes":[125],"furnaces.":[128]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}