{"id":"https://openalex.org/W4224300864","doi":"https://doi.org/10.3390/s22082837","title":"MEDEP: Maintenance Event Detection for Multivariate Time Series Based on the PELT Approach","display_name":"MEDEP: Maintenance Event Detection for Multivariate Time Series Based on the PELT Approach","publication_year":2022,"publication_date":"2022-04-07","ids":{"openalex":"https://openalex.org/W4224300864","doi":"https://doi.org/10.3390/s22082837","pmid":"https://pubmed.ncbi.nlm.nih.gov/35458821"},"language":"en","primary_location":{"id":"doi:10.3390/s22082837","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22082837","pdf_url":"https://www.mdpi.com/1424-8220/22/8/2837/pdf?version=1649660344","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/1424-8220/22/8/2837/pdf?version=1649660344","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035053114","display_name":"Milot Gashi","orcid":"https://orcid.org/0000-0001-6327-3960"},"institutions":[{"id":"https://openalex.org/I4210127322","display_name":"Procomcure Biotech (Austria)","ror":"https://ror.org/035g5pd63","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210127322"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Milot Gashi","raw_affiliation_strings":["Pro2Future GmbH, 4040 Linz, Austria"],"raw_orcid":"https://orcid.org/0000-0001-6327-3960","affiliations":[{"raw_affiliation_string":"Pro2Future GmbH, 4040 Linz, Austria","institution_ids":["https://openalex.org/I4210127322"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086896411","display_name":"Heimo Gursch","orcid":"https://orcid.org/0000-0001-7465-6553"},"institutions":[{"id":"https://openalex.org/I4210088621","display_name":"Know Center Research GmbH (Austria)","ror":"https://ror.org/004zhad81","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210088621"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Heimo Gursch","raw_affiliation_strings":["Know-Center GmbH, 8010 Graz, Austria"],"raw_orcid":"https://orcid.org/0000-0001-7465-6553","affiliations":[{"raw_affiliation_string":"Know-Center GmbH, 8010 Graz, Austria","institution_ids":["https://openalex.org/I4210088621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044319647","display_name":"Hannes Hinterbichler","orcid":null},"institutions":[{"id":"https://openalex.org/I4210157012","display_name":"Fronius (Austria)","ror":"https://ror.org/05c56kx15","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210157012"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Hannes Hinterbichler","raw_affiliation_strings":["Fronius International, 4643 Pettenbach, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fronius International, 4643 Pettenbach, Austria","institution_ids":["https://openalex.org/I4210157012"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061852383","display_name":"Stefan Pichler","orcid":"https://orcid.org/0000-0002-0904-8268"},"institutions":[{"id":"https://openalex.org/I4210157012","display_name":"Fronius (Austria)","ror":"https://ror.org/05c56kx15","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210157012"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Stefan Pichler","raw_affiliation_strings":["Fronius International, 4643 Pettenbach, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fronius International, 4643 Pettenbach, Austria","institution_ids":["https://openalex.org/I4210157012"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007424948","display_name":"Stefanie Lindstaedt","orcid":"https://orcid.org/0000-0003-3039-2255"},"institutions":[{"id":"https://openalex.org/I4210088621","display_name":"Know Center Research GmbH (Austria)","ror":"https://ror.org/004zhad81","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210088621"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Stefanie Lindstaedt","raw_affiliation_strings":["Know-Center GmbH, 8010 Graz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Know-Center GmbH, 8010 Graz, Austria","institution_ids":["https://openalex.org/I4210088621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024974682","display_name":"Stefan Thalmann","orcid":"https://orcid.org/0000-0001-6529-7958"},"institutions":[{"id":"https://openalex.org/I15766117","display_name":"University of Graz","ror":"https://ror.org/01faaaf77","country_code":"AT","type":"education","lineage":["https://openalex.org/I15766117"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Stefan Thalmann","raw_affiliation_strings":["Business Analytics and Data Science Center, University of Graz, 8010 Graz, Austria"],"raw_orcid":"https://orcid.org/0000-0001-6529-7958","affiliations":[{"raw_affiliation_string":"Business Analytics and Data Science Center, University of Graz, 8010 Graz, Austria","institution_ids":["https://openalex.org/I15766117"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5024974682","https://openalex.org/A5035053114"],"corresponding_institution_ids":["https://openalex.org/I15766117","https://openalex.org/I4210127322"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.971,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79123444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"22","issue":"8","first_page":"2837","last_page":"2837"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9941999912261963,"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":0.9941999912261963,"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/T10809","display_name":"Occupational Health and Safety Research","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9560999870300293,"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/predictive-maintenance","display_name":"Predictive maintenance","score":0.6419902443885803},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5616461634635925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5585231184959412},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5323935747146606},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5247871279716492},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.481444776058197},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4695984125137329},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.46220114827156067},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.43743178248405457},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.42194023728370667},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.2696303129196167},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2550410032272339},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25009578466415405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23168635368347168}],"concepts":[{"id":"https://openalex.org/C70452415","wikidata":"https://www.wikidata.org/wiki/Q3182448","display_name":"Predictive maintenance","level":2,"score":0.6419902443885803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5616461634635925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5585231184959412},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5323935747146606},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5247871279716492},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.481444776058197},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4695984125137329},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.46220114827156067},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.43743178248405457},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.42194023728370667},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2696303129196167},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2550410032272339},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25009578466415405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23168635368347168},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007221","descriptor_name":"Industry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007221","descriptor_name":"Industry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007221","descriptor_name":"Industry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007221","descriptor_name":"Industry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22082837","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22082837","pdf_url":"https://www.mdpi.com/1424-8220/22/8/2837/pdf?version=1649660344","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:35458821","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35458821","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:3fac0c24ebe141b896df7d7f383ca560","is_oa":true,"landing_page_url":"https://doaj.org/article/3fac0c24ebe141b896df7d7f383ca560","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 8, p 2837 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/8/2837/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22082837","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 8; Pages: 2837","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9031099","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9031099","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/s22082837","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22082837","pdf_url":"https://www.mdpi.com/1424-8220/22/8/2837/pdf?version=1649660344","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":[{"id":"https://metadata.un.org/sdg/9","score":0.6499999761581421,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320325582","display_name":"Karl-Franzens-Universit\u00e4t Graz","ror":"https://ror.org/01faaaf77"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4224300864.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W966979841","https://openalex.org/W1576534100","https://openalex.org/W1975684011","https://openalex.org/W1993332189","https://openalex.org/W2010599085","https://openalex.org/W2011779744","https://openalex.org/W2020692786","https://openalex.org/W2028563099","https://openalex.org/W2038869416","https://openalex.org/W2115627867","https://openalex.org/W2122646361","https://openalex.org/W2129535614","https://openalex.org/W2257742059","https://openalex.org/W2270810228","https://openalex.org/W2582336686","https://openalex.org/W2594640536","https://openalex.org/W2755997547","https://openalex.org/W2804522644","https://openalex.org/W2891166615","https://openalex.org/W2892901700","https://openalex.org/W2898723834","https://openalex.org/W2904188281","https://openalex.org/W2944303778","https://openalex.org/W2945815549","https://openalex.org/W2965470424","https://openalex.org/W2997377600","https://openalex.org/W3017232947","https://openalex.org/W3032537708","https://openalex.org/W3035318737","https://openalex.org/W3082784289","https://openalex.org/W3092012490","https://openalex.org/W3106889297","https://openalex.org/W3114833554","https://openalex.org/W3127221797","https://openalex.org/W3132180333","https://openalex.org/W3138830603","https://openalex.org/W3174697116","https://openalex.org/W3194722126","https://openalex.org/W3208861463","https://openalex.org/W4205950555","https://openalex.org/W4229706427","https://openalex.org/W4254182148","https://openalex.org/W6762627539"],"related_works":["https://openalex.org/W2951640941","https://openalex.org/W591863984","https://openalex.org/W2406638334","https://openalex.org/W2795136348","https://openalex.org/W962477430","https://openalex.org/W1991765889","https://openalex.org/W1990068454","https://openalex.org/W2472172556","https://openalex.org/W2903360172","https://openalex.org/W2277319453"],"abstract_inverted_index":{"Predictive":[0,215],"Maintenance":[1,216],"(PdM)":[2],"is":[3,45,67,174],"one":[4],"of":[5,10,35,88,184,232,245],"the":[6,36,135,164,167,180,185,203,212,226,233],"most":[7],"important":[8],"applications":[9],"advanced":[11],"data":[12,34,44,66,73,219],"science":[13],"in":[14,152,166,225,237],"Industry":[15],"4.0,":[16],"aiming":[17],"to":[18,57,62,83,157,179],"facilitate":[19],"manufacturing":[20],"processes.":[21],"To":[22,120],"build":[23],"PdM":[24],"models,":[25],"sufficient":[26],"data,":[27],"such":[28],"as":[29,49,176],"condition":[30,89,168],"monitoring":[31,90,169],"and":[32,47,54,70,112,148,196,208,218,250,253],"maintenance":[33,43,72,99,129,161],"industrial":[37],"application,":[38],"are":[39,74],"required.":[40],"However,":[41],"collecting":[42],"complex":[46],"challenging":[48],"it":[50],"requires":[51],"human":[52],"involvement":[53],"expertise.":[55],"Due":[56],"time":[58,194],"constraints,":[59],"motivating":[60],"workers":[61],"provide":[63,109],"comprehensive":[64],"labeled":[65,97],"very":[68,95],"challenging,":[69],"thus":[71],"mostly":[75],"incomplete":[76],"or":[77],"even":[78],"completely":[79],"missing.":[80],"In":[81],"addition":[82],"these":[84,118],"aspects,":[85],"a":[86,127,143,221,238],"lot":[87],"data-sets":[91,100],"exist,":[92],"but":[93],"only":[94],"few":[96],"small":[98],"can":[101,108],"be":[102],"found.":[103],"Hence,":[104],"our":[105],"proposed":[106,175,234],"solution":[107],"additional":[110],"labels":[111],"offer":[113],"new":[114],"research":[115],"possibilities":[116],"for":[117,192],"data-sets.":[119],"address":[121],"this":[122],"challenge,":[123],"we":[124],"introduce":[125],"MEDEP,":[126],"novel":[128],"event":[130],"detection":[131],"framework":[132],"based":[133,201],"on":[134,202,211,248],"Pruned":[136],"Exact":[137],"Linear":[138],"Time":[139],"(PELT)":[140],"approach,":[141],"promising":[142],"low":[144],"false-positive":[145],"(FP)":[146],"rate":[147,244],"high":[149,251],"accuracy":[150,254],"results":[151],"general.":[153],"MEDEP":[154,210],"could":[155],"help":[156],"automatically":[158],"detect":[159],"performed":[160],"events":[162],"from":[163,220],"deviations":[165],"data.":[170],"A":[171],"heuristic":[172],"method":[173],"an":[177,242],"extension":[178],"PELT":[181],"approach":[182,235],"consisting":[183],"following":[186],"two":[187],"steps:":[188],"(1)":[189],"mean":[190],"threshold":[191,199],"multivariate":[193],"series":[195],"(2)":[197],"distribution":[198],"analysis":[200],"complexity-invariant":[204],"metric.":[205],"We":[206],"validate":[207],"compare":[209],"Microsoft":[213],"Azure":[214],"data-set":[217],"real-world":[222],"use":[223],"case":[224],"welding":[227],"industry.":[228],"The":[229],"experimental":[230],"outcomes":[231],"resulted":[236],"superior":[239],"performance":[240],"with":[241],"FP":[243],"around":[246],"10%":[247],"average":[249],"sensitivity":[252],"results.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}