{"id":"https://openalex.org/W3210530495","doi":"https://doi.org/10.1109/iecon48115.2021.9589185","title":"Transfer Learning Strategies for Anomaly Detection in IoT Vibration Data","display_name":"Transfer Learning Strategies for Anomaly Detection in IoT Vibration Data","publication_year":2021,"publication_date":"2021-10-13","ids":{"openalex":"https://openalex.org/W3210530495","doi":"https://doi.org/10.1109/iecon48115.2021.9589185","mag":"3210530495"},"language":"en","primary_location":{"id":"doi:10.1109/iecon48115.2021.9589185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon48115.2021.9589185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2021 \u2013 47th Annual Conference of the IEEE Industrial Electronics Society","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/A5113181632","display_name":"Clemens Heistracher","orcid":null},"institutions":[{"id":"https://openalex.org/I132118926","display_name":"Austrian Institute of Technology","ror":"https://ror.org/04knbh022","country_code":"AT","type":"facility","lineage":["https://openalex.org/I132118926"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Clemens Heistracher","raw_affiliation_strings":["Digital Safety and Security, Austrian Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Safety and Security, Austrian Institute of Technology","institution_ids":["https://openalex.org/I132118926"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010149819","display_name":"Anahid Jalali","orcid":"https://orcid.org/0000-0002-8889-0735"},"institutions":[{"id":"https://openalex.org/I132118926","display_name":"Austrian Institute of Technology","ror":"https://ror.org/04knbh022","country_code":"AT","type":"facility","lineage":["https://openalex.org/I132118926"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Anahid Jalali","raw_affiliation_strings":["Digital Safety and Security, Austrian Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Safety and Security, Austrian Institute of Technology","institution_ids":["https://openalex.org/I132118926"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040244994","display_name":"Indu Strobl","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127033","display_name":"Siemens (Austria)","ror":"https://ror.org/03794w632","country_code":"AT","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210127033"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Indu Strobl","raw_affiliation_strings":["Distributed AI Systems, Siemens, AG, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Distributed AI Systems, Siemens, AG, Austria","institution_ids":["https://openalex.org/I4210127033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002056245","display_name":"Axel Suendermann","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127033","display_name":"Siemens (Austria)","ror":"https://ror.org/03794w632","country_code":"AT","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210127033"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Axel Suendermann","raw_affiliation_strings":["Distributed AI Systems, Siemens, AG, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Distributed AI Systems, Siemens, AG, Austria","institution_ids":["https://openalex.org/I4210127033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103184004","display_name":"Sebastian Meixner","orcid":"https://orcid.org/0000-0001-5862-608X"},"institutions":[{"id":"https://openalex.org/I4210127033","display_name":"Siemens (Austria)","ror":"https://ror.org/03794w632","country_code":"AT","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210127033"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Sebastian Meixner","raw_affiliation_strings":["Distributed AI Systems, Siemens, AG, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Distributed AI Systems, Siemens, AG, Austria","institution_ids":["https://openalex.org/I4210127033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054990462","display_name":"Stephanie Holly","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127033","display_name":"Siemens (Austria)","ror":"https://ror.org/03794w632","country_code":"AT","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210127033"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Stephanie Holly","raw_affiliation_strings":["Distributed AI Systems, Siemens, AG, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Distributed AI Systems, Siemens, AG, Austria","institution_ids":["https://openalex.org/I4210127033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103265197","display_name":"Daniel Schall","orcid":"https://orcid.org/0000-0002-1038-0241"},"institutions":[{"id":"https://openalex.org/I4210127033","display_name":"Siemens (Austria)","ror":"https://ror.org/03794w632","country_code":"AT","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210127033"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Daniel Schall","raw_affiliation_strings":["Distributed AI Systems, Siemens, AG, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Distributed AI Systems, Siemens, AG, Austria","institution_ids":["https://openalex.org/I4210127033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078932059","display_name":"Bernhard Haslhofer","orcid":"https://orcid.org/0000-0002-0415-4491"},"institutions":[{"id":"https://openalex.org/I132118926","display_name":"Austrian Institute of Technology","ror":"https://ror.org/04knbh022","country_code":"AT","type":"facility","lineage":["https://openalex.org/I132118926"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Bernhard Haslhofer","raw_affiliation_strings":["Digital Safety and Security, Austrian Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Safety and Security, Austrian Institute of Technology","institution_ids":["https://openalex.org/I132118926"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055011425","display_name":"Jana Kemnitz","orcid":"https://orcid.org/0000-0003-0342-4952"},"institutions":[{"id":"https://openalex.org/I4210127033","display_name":"Siemens (Austria)","ror":"https://ror.org/03794w632","country_code":"AT","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210127033"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Jana Kemnitz","raw_affiliation_strings":["Distributed AI Systems, Siemens, AG, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Distributed AI Systems, Siemens, AG, Austria","institution_ids":["https://openalex.org/I4210127033"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5861,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.6946359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9965999722480774,"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/T11220","display_name":"Water Systems and Optimization","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/anomaly-detection","display_name":"Anomaly detection","score":0.8812181949615479},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.7308732867240906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7296659350395203},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.584751307964325},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49174240231513977},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4865352213382721},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4667663276195526},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4383704960346222},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4345831573009491},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3871331214904785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34508633613586426},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33582931756973267},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13990384340286255},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.07545292377471924}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8812181949615479},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7308732867240906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7296659350395203},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.584751307964325},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49174240231513977},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4865352213382721},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4667663276195526},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4383704960346222},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4345831573009491},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3871331214904785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34508633613586426},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33582931756973267},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13990384340286255},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.07545292377471924},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon48115.2021.9589185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon48115.2021.9589185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2021 \u2013 47th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W1591019980","https://openalex.org/W1614298861","https://openalex.org/W2139689188","https://openalex.org/W2145487065","https://openalex.org/W2148922589","https://openalex.org/W2612445135","https://openalex.org/W2622826443","https://openalex.org/W2752573270","https://openalex.org/W2757455114","https://openalex.org/W2765317657","https://openalex.org/W2767016695","https://openalex.org/W2773549135","https://openalex.org/W2794239027","https://openalex.org/W2888812277","https://openalex.org/W2907056700","https://openalex.org/W2914201981","https://openalex.org/W2947464817","https://openalex.org/W2950577311","https://openalex.org/W2954088480","https://openalex.org/W2963571336","https://openalex.org/W3016838260","https://openalex.org/W3034758887","https://openalex.org/W4287643567","https://openalex.org/W4287995946","https://openalex.org/W4297775537","https://openalex.org/W6602002561","https://openalex.org/W6636510571","https://openalex.org/W6737664043","https://openalex.org/W6763203961","https://openalex.org/W6771747371"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"An":[0],"increasing":[1],"number":[2],"of":[3,61,81,107,137,168],"industrial":[4,135],"assets":[5,106,136],"are":[6],"equipped":[7],"with":[8,20,141],"IoT":[9,82],"sensor":[10,71,160],"platforms":[11],"and":[12,38,52,73,96,116,145],"the":[13,58,77,108,138],"industry":[14],"now":[15],"expects":[16],"data-driven":[17],"maintenance":[18],"strategies":[19],"minimal":[21,142],"deployment":[22,79],"costs.":[23],"However,":[24],"gathering":[25],"labeled":[26],"training":[27,64,146],"data":[28,62,72,161],"for":[29,63,99,128,156],"supervised":[30],"tasks":[31],"such":[32],"as":[33,152],"anomaly":[34,65,83,102,131],"detection":[35,84,103],"is":[36],"costly":[37],"often":[39],"difficult":[40],"to":[41,50,164],"implement":[42,53],"in":[43],"operational":[44],"environments.":[45],"Therefore,":[46],"this":[47],"work":[48,149],"aims":[49],"design":[51],"a":[54,125,153,165],"solution":[55],"that":[56,120],"reduces":[57],"required":[59],"amount":[60],"classification":[66,132],"models":[67,104,133],"on":[68],"time":[69],"series":[70],"thereby":[74],"brings":[75],"down":[76],"overall":[78],"effort":[80],"sensors.":[85],"We":[86],"set":[87],"up":[88],"several":[89],"in-lab":[90],"experiments":[91,112],"using":[92,129],"three":[93],"peristaltic":[94],"pumps":[95],"investigated":[97],"approaches":[98],"transferring":[100],"trained":[101],"across":[105,134],"same":[109,139],"type.":[110],"Our":[111],"achieved":[113],"promising":[114],"effectiveness":[115],"provide":[117],"initial":[118],"evidence":[119],"transfer":[121],"learning":[122],"could":[123,150],"be":[124],"suitable":[126],"strategy":[127],"pre-trained":[130,159],"type":[140],"prior":[143],"labeling":[144],"effort.":[147],"This":[148],"serve":[151],"starting":[154],"point":[155],"more":[157],"general,":[158],"embeddings,":[162],"applicable":[163],"wide":[166],"range":[167],"assets.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}