{"id":"https://openalex.org/W2575119910","doi":"https://doi.org/10.1109/indin.2016.7819365","title":"Anomaly detection on data streams for machine condition monitoring","display_name":"Anomaly detection on data streams for machine condition monitoring","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2575119910","doi":"https://doi.org/10.1109/indin.2016.7819365","mag":"2575119910"},"language":"en","primary_location":{"id":"doi:10.1109/indin.2016.7819365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin.2016.7819365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 14th 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/A5077335225","display_name":"Tobias Brandt","orcid":"https://orcid.org/0000-0002-9286-8442"},"institutions":[{"id":"https://openalex.org/I129877168","display_name":"Carl von Ossietzky Universit\u00e4t Oldenburg","ror":"https://ror.org/033n9gh91","country_code":"DE","type":"education","lineage":["https://openalex.org/I129877168"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Brandt","raw_affiliation_strings":["Department of Computing Science, University of Oldenburg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Oldenburg","institution_ids":["https://openalex.org/I129877168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019223030","display_name":"Marco Grawunder","orcid":null},"institutions":[{"id":"https://openalex.org/I129877168","display_name":"Carl von Ossietzky Universit\u00e4t Oldenburg","ror":"https://ror.org/033n9gh91","country_code":"DE","type":"education","lineage":["https://openalex.org/I129877168"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marco Grawunder","raw_affiliation_strings":["Department of Computing Science, University of Oldenburg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Oldenburg","institution_ids":["https://openalex.org/I129877168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113507302","display_name":"Hans-J\u00fcrgen Appelrath","orcid":null},"institutions":[{"id":"https://openalex.org/I129877168","display_name":"Carl von Ossietzky Universit\u00e4t Oldenburg","ror":"https://ror.org/033n9gh91","country_code":"DE","type":"education","lineage":["https://openalex.org/I129877168"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hans-Jurgen Appelrath","raw_affiliation_strings":["Department of Computing Science, University of Oldenburg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Science, University of Oldenburg","institution_ids":["https://openalex.org/I129877168"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I129877168"],"apc_list":null,"apc_paid":null,"fwci":0.4416,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80993421,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1282","last_page":"1287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9821000099182129,"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":0.9787999987602234,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7617810368537903},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.627855658531189},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.6165816783905029},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5935998558998108},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4824429154396057},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41676488518714905},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.06772857904434204}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7617810368537903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.627855658531189},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.6165816783905029},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5935998558998108},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4824429154396057},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41676488518714905},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.06772857904434204},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin.2016.7819365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin.2016.7819365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 14th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W286152367","https://openalex.org/W625540141","https://openalex.org/W1554841376","https://openalex.org/W2000304567","https://openalex.org/W2038546740","https://openalex.org/W2047264990","https://openalex.org/W2122646361","https://openalex.org/W2408096256","https://openalex.org/W4231597984","https://openalex.org/W4235594362"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4293083682","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W3190734578","https://openalex.org/W1595351371","https://openalex.org/W4300558037","https://openalex.org/W2912112202"],"abstract_inverted_index":{"Machine":[0],"Condition":[1],"Monitoring":[2],"(MCM)":[3],"is":[4,34,86,127],"an":[5],"important":[6],"topic":[7],"for":[8,40,75,137],"the":[9,31,79,103,109,113],"reliability":[10],"of":[11,21,25,50,83,98,105,121,134],"industrial":[12],"machines":[13,77],"in":[14,69,78],"increasingly":[15],"interconnected":[16],"production":[17],"facilities.":[18],"The":[19,81,125],"analysis":[20,133],"a":[22,35,48,63,87,119,128],"huge":[23,96],"amount":[24],"data":[26,70,100,122,136],"to":[27,56,72,108,118],"get":[28],"information":[29],"about":[30],"machine's":[32],"condition":[33],"difficult":[36,55],"challenge.":[37],"Current":[38],"solutions":[39],"these":[41],"analyses":[42],"are":[43,54],"often":[44],"very":[45],"specific,":[46],"need":[47],"lot":[49],"manual":[51],"configuration":[52],"or":[53],"apply.":[57],"In":[58],"this":[59,84],"paper,":[60],"we":[61],"present":[62],"system":[64,85,91,129],"that":[65,130],"uses":[66],"anomaly":[67,110],"detection":[68,111],"streams":[71],"find":[73],"hints":[74],"faulty":[76],"data.":[80],"basis":[82],"Data":[88],"stream":[89],"management":[90],"(DSMS),":[92],"which":[93],"can":[94,115],"handle":[95],"amounts":[97],"streaming":[99],"and":[101,123],"simplifies":[102],"definition":[104],"analyses.":[106],"Due":[107],"algorithms,":[112],"approach":[114],"be":[116],"applied":[117],"variety":[120],"scenarios.":[124],"outcome":[126],"allows":[131],"live":[132],"machine":[135],"MCM.":[138]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
