{"id":"https://openalex.org/W2770878756","doi":"https://doi.org/10.1109/indin.2017.8104779","title":"Building scalable models for anomaly detection in self-organizing industrial systems","display_name":"Building scalable models for anomaly detection in self-organizing industrial systems","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2770878756","doi":"https://doi.org/10.1109/indin.2017.8104779","mag":"2770878756"},"language":"en","primary_location":{"id":"doi:10.1109/indin.2017.8104779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin.2017.8104779","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 15th 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/A5049582113","display_name":"Marie Kiermeier","orcid":null},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marie Kiermeier","raw_affiliation_strings":["Mobile and Distributed Systems, LMU Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mobile and Distributed Systems, LMU Munich, Germany","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062987908","display_name":"Martin Werner","orcid":"https://orcid.org/0000-0002-6951-8022"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Werner","raw_affiliation_strings":["Mobile and Distributed Systems, LMU Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mobile and Distributed Systems, LMU Munich, Germany","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042812936","display_name":"Horst Sauer","orcid":null},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Horst Sauer","raw_affiliation_strings":["Siemens AG, Corporate Technology, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens AG, Corporate Technology, Munich, Germany","institution_ids":["https://openalex.org/I1325886976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038406626","display_name":"Jan Wieghardt","orcid":null},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jan Wieghardt","raw_affiliation_strings":["Siemens AG, Corporate Technology, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens AG, Corporate Technology, Munich, Germany","institution_ids":["https://openalex.org/I1325886976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17785459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"245","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9925000071525574,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9794999957084656,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7746925950050354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6634455919265747},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6041802167892456},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.460662305355072},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.31170710921287537},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1874505877494812}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7746925950050354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6634455919265747},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6041802167892456},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.460662305355072},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31170710921287537},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1874505877494812},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin.2017.8104779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin.2017.8104779","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W149850985","https://openalex.org/W1465304330","https://openalex.org/W1496303443","https://openalex.org/W1525147170","https://openalex.org/W1581745374","https://openalex.org/W1985027321","https://openalex.org/W1991357106","https://openalex.org/W1999110238","https://openalex.org/W1999432478","https://openalex.org/W2046466133","https://openalex.org/W2091770595","https://openalex.org/W2093855404","https://openalex.org/W2100330570","https://openalex.org/W2101823987","https://openalex.org/W2105686649","https://openalex.org/W2117618130","https://openalex.org/W2122646361","https://openalex.org/W2134485500","https://openalex.org/W2136975357","https://openalex.org/W2138190221","https://openalex.org/W2167538453","https://openalex.org/W2168884627","https://openalex.org/W2612235805","https://openalex.org/W4211139099"],"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":{"The":[0],"main":[1],"challenge":[2],"for":[3],"anomaly":[4,56,77],"detection":[5,57,78],"in":[6,64,72,113],"Self-Organizing":[7],"Industrial":[8],"Systems":[9],"(SOIS)":[10],"is":[11,28,50],"the":[12,18,26,38,47,82,93,129,155,161,168],"high":[13],"degree":[14],"of":[15,17,37,41,92,105,131,163],"freedom":[16],"system,":[19],"which":[20,80,146],"causes":[21],"a":[22,75,89,132,143],"state-space":[23],"explosion.":[24],"Since":[25],"system":[27,133],"free":[29],"to":[30,44,115],"choose":[31],"at":[32,52,99],"runtime":[33],"any":[34],"solution":[35],"out":[36],"vast":[39],"amount":[40],"possible":[42],"ones,":[43],"ensure":[45],"that":[46,84],"production":[48,94],"process":[49],"optimal":[51],"all":[53],"times,":[54],"classic":[55],"techniques":[58],"can":[59,135],"not":[60],"be":[61,136],"used":[62],"one-to-one":[63],"SOISs.":[65],"For":[66],"this":[67,139],"reason,":[68],"we":[69,141],"already":[70],"presented":[71],"previous":[73],"work,":[74],"novel":[76],"method,":[79],"exploits":[81],"idea":[83],"many":[85],"products":[86],"will":[87],"share":[88],"larger":[90],"fraction":[91],"process.":[95],"Accordingly,":[96],"it":[97],"learns":[98],"first":[100],"such":[101,148],"recurrent":[102],"\u201cbuilding":[103,149],"blocks\u201d":[104,150],"object":[106],"movements":[107,112],"and":[108,124],"represents":[109],"then":[110],"incoming":[111],"relation":[114],"these":[116],"known":[117],"building":[118],"blocks.":[119],"With":[120],"it,":[121],"anomalous":[122,126],"trajectories":[123],"global":[125],"events":[127],"like":[128],"omitting":[130],"component,":[134],"detected.":[137],"In":[138,153],"paper,":[140],"present":[142],"new":[144,156],"algorithm":[145],"extracts":[147],"more":[151],"efficiently.":[152],"particular,":[154],"approach":[157,170],"scales":[158,171],"linear":[159],"with":[160],"number":[162],"samples":[164],"per":[165],"trajectory,":[166],"while":[167],"existing":[169],"quadratic.":[172]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}