{"id":"https://openalex.org/W4283585094","doi":"https://doi.org/10.3390/s22134813","title":"Efficient Feature Learning Approach for Raw Industrial Vibration Data Using Two-Stage Learning Framework","display_name":"Efficient Feature Learning Approach for Raw Industrial Vibration Data Using Two-Stage Learning Framework","publication_year":2022,"publication_date":"2022-06-25","ids":{"openalex":"https://openalex.org/W4283585094","doi":"https://doi.org/10.3390/s22134813","pmid":"https://pubmed.ncbi.nlm.nih.gov/35808315"},"language":"en","primary_location":{"id":"doi:10.3390/s22134813","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22134813","pdf_url":"https://www.mdpi.com/1424-8220/22/13/4813/pdf?version=1657093720","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/1424-8220/22/13/4813/pdf?version=1657093720","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014669128","display_name":"Mohamed-Ali Tnani","orcid":"https://orcid.org/0000-0002-8198-0084"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]},{"id":"https://openalex.org/I889804353","display_name":"Robert Bosch (Germany)","ror":"https://ror.org/01fe0jt45","country_code":"DE","type":"company","lineage":["https://openalex.org/I889804353"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Mohamed-Ali Tnani","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany","Department of Factory of the Future, Bosch Rexroth AG, Lise-Meitner-Str. 4, 89081 Ulm, Germany"],"raw_orcid":"https://orcid.org/0000-0002-8198-0084","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Department of Factory of the Future, Bosch Rexroth AG, Lise-Meitner-Str. 4, 89081 Ulm, Germany","institution_ids":["https://openalex.org/I889804353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033466376","display_name":"Paul Subarnaduti","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Paul Subarnaduti","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074346065","display_name":"Klaus Diepold","orcid":"https://orcid.org/0000-0003-0439-7511"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus Diepold","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0003-0439-7511","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014669128"],"corresponding_institution_ids":["https://openalex.org/I62916508","https://openalex.org/I889804353"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":2.6686,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.91012645,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"13","first_page":"4813","last_page":"4813"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.982699990272522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7575439214706421},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7071266770362854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6860971450805664},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6011285185813904},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.5656600594520569},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5164556503295898},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5154365301132202},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4802820384502411},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47678565979003906},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.47576040029525757},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4742364287376404},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.45842471718788147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7575439214706421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7071266770362854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6860971450805664},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6011285185813904},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.5656600594520569},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5164556503295898},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5154365301132202},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4802820384502411},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47678565979003906},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.47576040029525757},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4742364287376404},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.45842471718788147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014732","descriptor_name":"Vibration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014732","descriptor_name":"Vibration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014732","descriptor_name":"Vibration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.3390/s22134813","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22134813","pdf_url":"https://www.mdpi.com/1424-8220/22/13/4813/pdf?version=1657093720","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:35808315","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35808315","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:0688b962a8e04ebdbd3b1bedb85a13d1","is_oa":true,"landing_page_url":"https://doaj.org/article/0688b962a8e04ebdbd3b1bedb85a13d1","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,"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":"Sensors, Vol 22, Iss 13, p 4813 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/13/4813/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22134813","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 13; Pages: 4813","raw_type":"Text"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1685291","is_oa":true,"landing_page_url":"https://mediatum.ub.tum.de/1685291","pdf_url":null,"source":{"id":"https://openalex.org/S4306400453","display_name":"mediaTUM \u2013 the media and publications repository of the Technical University Munich (Technical University Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9269670","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9269670","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/s22134813","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22134813","pdf_url":"https://www.mdpi.com/1424-8220/22/13/4813/pdf?version=1657093720","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4283585094.pdf","grobid_xml":"https://content.openalex.org/works/W4283585094.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W848133049","https://openalex.org/W1836465849","https://openalex.org/W1900747440","https://openalex.org/W2050252315","https://openalex.org/W2089468765","https://openalex.org/W2122538988","https://openalex.org/W2144994235","https://openalex.org/W2324044936","https://openalex.org/W2584994008","https://openalex.org/W2601450892","https://openalex.org/W2767031373","https://openalex.org/W2767230764","https://openalex.org/W2786161686","https://openalex.org/W2802314367","https://openalex.org/W2892035503","https://openalex.org/W2939217062","https://openalex.org/W2944378183","https://openalex.org/W2945228284","https://openalex.org/W2963943197","https://openalex.org/W2967115638","https://openalex.org/W2972810968","https://openalex.org/W2995360785","https://openalex.org/W3037964196","https://openalex.org/W3048988402","https://openalex.org/W3083891030","https://openalex.org/W3089776735","https://openalex.org/W3104771687","https://openalex.org/W3121258721","https://openalex.org/W3128553897","https://openalex.org/W3147967050","https://openalex.org/W3177169361","https://openalex.org/W3195219609","https://openalex.org/W3199257374","https://openalex.org/W3199325788","https://openalex.org/W4205663607","https://openalex.org/W4221133782","https://openalex.org/W4285273182","https://openalex.org/W6735236233","https://openalex.org/W6762744983","https://openalex.org/W6806548773"],"related_works":["https://openalex.org/W4285233543","https://openalex.org/W3174759195","https://openalex.org/W4230838436","https://openalex.org/W3167013339","https://openalex.org/W4287121366","https://openalex.org/W3199964822","https://openalex.org/W4232132981","https://openalex.org/W4238046985","https://openalex.org/W3164948662","https://openalex.org/W60493759"],"abstract_inverted_index":{"In":[0],"the":[1,11,60,70,127,137,142,161,164],"last":[2],"decades,":[3],"data-driven":[4],"methods":[5,21],"have":[6,44],"gained":[7],"great":[8],"popularity":[9],"in":[10,17,59,100],"industry,":[12],"supported":[13],"by":[14],"state-of-the-art":[15],"advancements":[16],"machine":[18,101],"learning.":[19],"These":[20],"require":[22],"a":[23,105,112,123,146,181],"large":[24],"quantity":[25],"of":[26,62,72,86,115,153,163],"labeled":[27,116],"data,":[28],"which":[29,54,178],"is":[30,79,120],"difficult":[31],"to":[32,48,170],"obtain":[33],"and":[34,37,50,65,141,167,175],"mostly":[35],"costly":[36],"challenging.":[38],"To":[39],"address":[40],"these":[41],"challenges,":[42],"researchers":[43],"turned":[45],"their":[46,168],"attention":[47],"unsupervised":[49],"few-shot":[51,107],"learning":[52,78,95,108],"methods,":[53],"produced":[55],"encouraging":[56],"results,":[57],"particularly":[58],"areas":[61],"computer":[63],"vision":[64],"natural":[66],"language":[67],"processing.":[68],"With":[69],"lack":[71],"pretrained":[73],"models,":[74],"time":[75,176],"series":[76],"feature":[77,94,143],"still":[80],"considered":[81],"as":[82],"an":[83,91,151],"open":[84],"area":[85],"research.":[87],"This":[88],"paper":[89],"presents":[90],"efficient":[92],"two-stage":[93],"approach":[96],"for":[97,184],"anomaly":[98],"detection":[99],"processes,":[102],"based":[103],"on":[104,122],"prototype":[106],"technique":[109],"that":[110],"requires":[111],"limited":[113],"number":[114],"samples.":[117],"The":[118,133,155],"work":[119],"evaluated":[121],"real-world":[124],"scenario":[125],"using":[126],"publicly":[128],"available":[129],"CNC":[130],"Machining":[131],"dataset.":[132],"proposed":[134],"method":[135,183],"outperforms":[136],"conventional":[138],"prototypical":[139],"network":[140],"analysis":[144],"shows":[145],"high":[147],"generalization":[148],"ability":[149],"achieving":[150],"F1-score":[152],"90.3%.":[154],"comparison":[156],"with":[157],"handcrafted":[158],"features":[159,166],"proves":[160],"robustness":[162],"deep":[165],"invariance":[169],"data":[171],"shifts":[172],"across":[173],"machines":[174],"periods,":[177],"makes":[179],"it":[180],"reliable":[182],"sensory":[185],"industrial":[186],"applications.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
