{"id":"https://openalex.org/W4307939574","doi":"https://doi.org/10.3390/s22218259","title":"Autoencoder-Ensemble-Based Unsupervised Selection of Production-Relevant Variables for Context-Aware Fault Diagnosis","display_name":"Autoencoder-Ensemble-Based Unsupervised Selection of Production-Relevant Variables for Context-Aware Fault Diagnosis","publication_year":2022,"publication_date":"2022-10-28","ids":{"openalex":"https://openalex.org/W4307939574","doi":"https://doi.org/10.3390/s22218259","pmid":"https://pubmed.ncbi.nlm.nih.gov/36365957"},"language":"en","primary_location":{"id":"doi:10.3390/s22218259","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22218259","pdf_url":"https://www.mdpi.com/1424-8220/22/21/8259/pdf?version=1667181448","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/21/8259/pdf?version=1667181448","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031144212","display_name":"Lukas Kaupp","orcid":"https://orcid.org/0000-0001-9411-6781"},"institutions":[{"id":"https://openalex.org/I107257983","display_name":"Darmstadt University of Applied Sciences","ror":"https://ror.org/047wbd030","country_code":"DE","type":"education","lineage":["https://openalex.org/I107257983"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Lukas Kaupp","raw_affiliation_strings":["Faculty of Computer Science, Darmstadt University of Applied Sciences, Haardtring 100, 64295 Darmstadt, Germany"],"raw_orcid":"https://orcid.org/0000-0001-9411-6781","affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Darmstadt University of Applied Sciences, Haardtring 100, 64295 Darmstadt, Germany","institution_ids":["https://openalex.org/I107257983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066285524","display_name":"Bernhard G. Humm","orcid":"https://orcid.org/0000-0001-7805-1981"},"institutions":[{"id":"https://openalex.org/I107257983","display_name":"Darmstadt University of Applied Sciences","ror":"https://ror.org/047wbd030","country_code":"DE","type":"education","lineage":["https://openalex.org/I107257983"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernhard Humm","raw_affiliation_strings":["Faculty of Computer Science, Darmstadt University of Applied Sciences, Haardtring 100, 64295 Darmstadt, Germany"],"raw_orcid":"https://orcid.org/0000-0001-7805-1981","affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Darmstadt University of Applied Sciences, Haardtring 100, 64295 Darmstadt, Germany","institution_ids":["https://openalex.org/I107257983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073328472","display_name":"Kawa Nazemi","orcid":"https://orcid.org/0000-0002-2907-2740"},"institutions":[{"id":"https://openalex.org/I107257983","display_name":"Darmstadt University of Applied Sciences","ror":"https://ror.org/047wbd030","country_code":"DE","type":"education","lineage":["https://openalex.org/I107257983"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kawa Nazemi","raw_affiliation_strings":["Research Group Human-Computer Interaction and Visual Analytics, Faculty of Media, Darmstadt University of Applied Sciences, Haardtring 100, 64295 Darmstadt, Germany"],"raw_orcid":"https://orcid.org/0000-0002-2907-2740","affiliations":[{"raw_affiliation_string":"Research Group Human-Computer Interaction and Visual Analytics, Faculty of Media, Darmstadt University of Applied Sciences, Haardtring 100, 64295 Darmstadt, Germany","institution_ids":["https://openalex.org/I107257983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071443123","display_name":"Stephan Simons","orcid":null},"institutions":[{"id":"https://openalex.org/I107257983","display_name":"Darmstadt University of Applied Sciences","ror":"https://ror.org/047wbd030","country_code":"DE","type":"education","lineage":["https://openalex.org/I107257983"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stephan Simons","raw_affiliation_strings":["Faculty of Electrical Engineering and Information Technology, Darmstadt University of Applied Sciences, Haardtring 100, 64295 Darmstadt, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Information Technology, Darmstadt University of Applied Sciences, Haardtring 100, 64295 Darmstadt, Germany","institution_ids":["https://openalex.org/I107257983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031144212"],"corresponding_institution_ids":["https://openalex.org/I107257983"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.4162,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68894438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"22","issue":"21","first_page":"8259","last_page":"8259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9901999831199646,"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"}},{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.9751999974250793,"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/autoencoder","display_name":"Autoencoder","score":0.8877427577972412},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6331597566604614},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5461723208427429},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.5381534695625305},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.5376179814338684},{"id":"https://openalex.org/keywords/factory","display_name":"Factory (object-oriented programming)","score":0.4977605640888214},{"id":"https://openalex.org/keywords/production-line","display_name":"Production line","score":0.4708292782306671},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.43001458048820496},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.418447881937027},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4037989675998688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3886486291885376},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.35280779004096985},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3509078025817871},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20151814818382263}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8877427577972412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6331597566604614},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5461723208427429},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.5381534695625305},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.5376179814338684},{"id":"https://openalex.org/C40149104","wikidata":"https://www.wikidata.org/wiki/Q5620977","display_name":"Factory (object-oriented programming)","level":2,"score":0.4977605640888214},{"id":"https://openalex.org/C99862985","wikidata":"https://www.wikidata.org/wiki/Q10858068","display_name":"Production line","level":2,"score":0.4708292782306671},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.43001458048820496},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.418447881937027},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4037989675998688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3886486291885376},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35280779004096985},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3509078025817871},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20151814818382263},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22218259","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22218259","pdf_url":"https://www.mdpi.com/1424-8220/22/21/8259/pdf?version=1667181448","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36365957","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36365957","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:1f274b7e2c1045f8ae6a224a84807042","is_oa":true,"landing_page_url":"https://doaj.org/article/1f274b7e2c1045f8ae6a224a84807042","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 21, p 8259 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/21/8259/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22218259","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 21; Pages: 8259","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9655645","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9655645","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22218259","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22218259","pdf_url":"https://www.mdpi.com/1424-8220/22/21/8259/pdf?version=1667181448","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4307939574.pdf","grobid_xml":"https://content.openalex.org/works/W4307939574.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1672049684","https://openalex.org/W2097481508","https://openalex.org/W2643069891","https://openalex.org/W2744270332","https://openalex.org/W2755148105","https://openalex.org/W2797154280","https://openalex.org/W2908484656","https://openalex.org/W2912644960","https://openalex.org/W2942788380","https://openalex.org/W2945242426","https://openalex.org/W2948143530","https://openalex.org/W2969402780","https://openalex.org/W2969980263","https://openalex.org/W2973905387","https://openalex.org/W2976367468","https://openalex.org/W3004777721","https://openalex.org/W3007271905","https://openalex.org/W3013803552","https://openalex.org/W3014178782","https://openalex.org/W3015911129","https://openalex.org/W3020192530","https://openalex.org/W3020543937","https://openalex.org/W3027099759","https://openalex.org/W3042046988","https://openalex.org/W3049204557","https://openalex.org/W3086780189","https://openalex.org/W3112092637","https://openalex.org/W3120795858","https://openalex.org/W3130347449","https://openalex.org/W3131281828","https://openalex.org/W3136961688","https://openalex.org/W3156245962","https://openalex.org/W3166888304","https://openalex.org/W3179622375","https://openalex.org/W3180441903","https://openalex.org/W3182268690","https://openalex.org/W4214508952","https://openalex.org/W4285158130","https://openalex.org/W6912509676"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338","https://openalex.org/W2145836866","https://openalex.org/W2803255133"],"abstract_inverted_index":{"Smart":[0],"factories":[1],"are":[2,24,48],"complex;":[3],"with":[4],"the":[5,12,49,76,94,101,111,125],"increased":[6],"complexity":[7,13],"of":[8,21,34,54,75,96,127],"employed":[9],"cyber-physical":[10],"systems,":[11],"evolves":[14],"further.":[15],"Cyber-physical":[16],"systems":[17],"produce":[18],"high":[19],"amounts":[20],"data":[22,36],"that":[23,147],"hard":[25],"to":[26,30,41,72,85,92,116,139],"capture":[27],"and":[28,123,144,163],"challenging":[29],"analyze.":[31],"Real-time":[32],"recording":[33],"all":[35],"is":[37],"not":[38],"possible":[39],"due":[40],"limited":[42],"network":[43,46],"capabilities.":[44],"Limited":[45],"capabilities":[47],"reason":[50],"for":[51],"a":[52,82,150,159,167],"chain":[53],"faults":[55,65],"introduced":[56,64],"via":[57,136],"active":[58],"surveillance":[59],"during":[60],"fault":[61,107],"diagnosis.":[62],"These":[63],"may":[66,148],"slow":[67],"down":[68],"production":[69,77,145],"or":[70],"lead":[71],"an":[73,133],"outage":[74],"line.":[78],"Here,":[79],"we":[80],"present":[81],"novel":[83],"approach":[84,131,154],"automatically":[86],"select":[87],"production-relevant":[88],"shop":[89],"floor":[90],"parameters":[91],"decrease":[93],"number":[95],"surveyed":[97],"variables":[98,146],"and,":[99],"at":[100],"same":[102],"time,":[103],"maintain":[104],"quality":[105],"in":[106,158],"diagnosis":[108],"without":[109],"overloading":[110],"network.":[112],"We":[113],"were":[114],"able":[115],"achieve":[117],"higher":[118,151],"throughput,":[119],"mitigate":[120],"communication":[121],"losses":[122],"prevent":[124],"disruption":[126],"factory":[128,162],"instructions.":[129],"Our":[130,153],"uses":[132],"autoencoder":[134],"ensemble":[135],"minority":[137],"voting":[138],"differentiate":[140],"between":[141],"normal-always":[142],"on-variables":[143],"yield":[149],"entropy.":[152],"has":[155],"been":[156],"tested":[157],"production-equal":[160],"smart":[161],"was":[164],"cross-validated":[165],"by":[166],"domain":[168],"expert.":[169]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
