{"id":"https://openalex.org/W3004126016","doi":"https://doi.org/10.1109/indin41052.2019.8972027","title":"A Deep Learning-based Approach to Anomaly Detection with 2-Dimensional Data in Manufacturing","display_name":"A Deep Learning-based Approach to Anomaly Detection with 2-Dimensional Data in Manufacturing","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W3004126016","doi":"https://doi.org/10.1109/indin41052.2019.8972027","mag":"3004126016"},"language":"en","primary_location":{"id":"doi:10.1109/indin41052.2019.8972027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin41052.2019.8972027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"},"type":"article","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/A5006010436","display_name":"Marco Maggipinto","orcid":"https://orcid.org/0000-0003-4705-9651"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Marco Maggipinto","raw_affiliation_strings":["University of Padova,Department of Information Engineering,Padova,Italy","Department of Information Engineering, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"University of Padova,Department of Information Engineering,Padova,Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043391732","display_name":"Alessandro Beghi","orcid":"https://orcid.org/0000-0003-2252-2179"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Beghi","raw_affiliation_strings":["University of Padova,Department of Information Engineering,Padova,Italy","Department of Information Engineering, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"University of Padova,Department of Information Engineering,Padova,Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026617079","display_name":"Gian Antonio Susto","orcid":"https://orcid.org/0000-0001-5739-9639"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gian Antonio Susto","raw_affiliation_strings":["University of Padova,Department of Information Engineering,Padova,Italy","Department of Information Engineering, University of Padova, Padova, Italy"],"affiliations":[{"raw_affiliation_string":"University of Padova,Department of Information Engineering,Padova,Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Padova, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006010436"],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":1.0191,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.83575847,"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":"187","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.996999979019165,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7580053806304932},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7508723735809326},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.7100350856781006},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.650060772895813},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6181895136833191},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.58900386095047},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.528652012348175},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.517442524433136},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4850425124168396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47606155276298523},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46729400753974915},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3608993887901306},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35791242122650146},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.3416121304035187},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1605956256389618},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.10998305678367615},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08810749650001526}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7580053806304932},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7508723735809326},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.7100350856781006},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.650060772895813},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6181895136833191},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.58900386095047},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.528652012348175},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.517442524433136},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4850425124168396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47606155276298523},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46729400753974915},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3608993887901306},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35791242122650146},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.3416121304035187},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1605956256389618},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.10998305678367615},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08810749650001526},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/indin41052.2019.8972027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin41052.2019.8972027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.research.unipd.it:11577/3333279","is_oa":false,"landing_page_url":"http://hdl.handle.net/11577/3333279","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6299999952316284,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W42722137","https://openalex.org/W2066567429","https://openalex.org/W2139932249","https://openalex.org/W2142889610","https://openalex.org/W2144182447","https://openalex.org/W2146838370","https://openalex.org/W2147331788","https://openalex.org/W2171789818","https://openalex.org/W2296719434","https://openalex.org/W2343294774","https://openalex.org/W2516866958","https://openalex.org/W2522803339","https://openalex.org/W2555770042","https://openalex.org/W2557283755","https://openalex.org/W2570571418","https://openalex.org/W2609280469","https://openalex.org/W2735242549","https://openalex.org/W2755997547","https://openalex.org/W2765427245","https://openalex.org/W2770241596","https://openalex.org/W2802761552","https://openalex.org/W2808993481","https://openalex.org/W2907589510","https://openalex.org/W2912097776","https://openalex.org/W2914488306","https://openalex.org/W4254182148","https://openalex.org/W4300485340","https://openalex.org/W6727629398","https://openalex.org/W6746693533","https://openalex.org/W6757378122","https://openalex.org/W6758523849"],"related_works":["https://openalex.org/W2049578243","https://openalex.org/W1828158523","https://openalex.org/W2122079181","https://openalex.org/W2000145235","https://openalex.org/W1985848810","https://openalex.org/W2889939530","https://openalex.org/W2399195672","https://openalex.org/W3121881699","https://openalex.org/W2748838164","https://openalex.org/W2066015000"],"abstract_inverted_index":{"In":[0,105],"modern":[1],"manufacturing":[2],"scenarios,":[3],"detecting":[4],"anomalies":[5],"in":[6,19,90],"production":[7],"systems":[8,26],"is":[9,84,96,135],"pivotal":[10],"to":[11,48,55],"keep":[12],"high-quality":[13],"standards":[14],"and":[15,30,74,94,102],"reduce":[16],"costs.":[17],"Even":[18],"the":[20,33,110,151],"Industry":[21],"4.0":[22],"context,":[23],"real-world":[24],"monitoring":[25,59,125],"are":[27],"often":[28],"simple":[29],"based":[31],"on":[32,137],"use":[34,129],"of":[35,46,112,130,144],"multiple":[36],"univariate":[37],"control":[38],"charts.":[39],"Data-driven":[40],"technologies":[41],"offer":[42],"a":[43,75,85,122],"whole":[44],"range":[45],"tools":[47],"perform":[49],"multivariate":[50],"data":[51],"analysis":[52],"that":[53,127,150],"allow":[54],"implement":[56],"more":[57],"effective":[58],"procedures.":[60,158],"However,":[61],"when":[62],"dealing":[63],"with":[64,99,115],"complex":[65],"data,":[66,119,142],"common":[67],"data-driven":[68],"methods":[69],"cannot":[70],"be":[71,80],"directly":[72],"used,":[73],"feature":[76,156],"extraction":[77,83,157],"phase":[78],"must":[79],"employed.":[81],"Feature":[82],"particularly":[86],"critical":[87],"operation,":[88],"especially":[89],"anomaly":[91],"detection":[92],"tasks,":[93],"it":[95],"generally":[97],"associated":[98],"information":[100],"loss":[101],"low":[103],"scalability.":[104],"this":[106],"paper":[107],"we":[108],"consider":[109],"task":[111],"Anomaly":[113],"Detection":[114],"two-dimensional,":[116],"image-like":[117],"input":[118],"by":[120],"adopting":[121],"Deep":[123],"Learning-based":[124],"procedure,":[126],"makes":[128],"convolutional":[131],"autoencoders.":[132],"The":[133,147],"procedure":[134],"tested":[136],"real":[138],"Optical":[139],"Emission":[140],"Spectroscopy":[141],"typical":[143],"semiconductor":[145],"manufacturing.":[146],"results":[148],"show":[149],"proposed":[152],"approach":[153],"outperforms":[154],"classical":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}