{"id":"https://openalex.org/W1899291908","doi":"https://doi.org/10.1109/etfa.2015.7301465","title":"A HMM-based fault detection method for piecewise stationary industrial processes","display_name":"A HMM-based fault detection method for piecewise stationary industrial processes","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W1899291908","doi":"https://doi.org/10.1109/etfa.2015.7301465","mag":"1899291908"},"language":"en","primary_location":{"id":"doi:10.1109/etfa.2015.7301465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2015.7301465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 20th Conference on Emerging Technologies &amp; Factory Automation (ETFA)","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/A5017548759","display_name":"Stefan Windmann","orcid":"https://orcid.org/0000-0002-4030-0839"},"institutions":[{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Stefan Windmann","raw_affiliation_strings":["Fraunhofer IOSB-INA, Application Center Industrial Automation, Lemgo, Germany","Fraunhofer IOSB-INA, Application Center Industrial Automation, Langenbruch 6, 32657 Lemgo, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IOSB-INA, Application Center Industrial Automation, Lemgo, Germany","institution_ids":["https://openalex.org/I4210111500"]},{"raw_affiliation_string":"Fraunhofer IOSB-INA, Application Center Industrial Automation, Langenbruch 6, 32657 Lemgo, Germany","institution_ids":["https://openalex.org/I4210111500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031386525","display_name":"Florian Jungbluth","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Jungbluth","raw_affiliation_strings":["Fraunhofer IOSB-INA, Application Center Industrial Automation, Lemgo, Germany","Fraunhofer IOSB-INA, Application Center Industrial Automation, Langenbruch 6, 32657 Lemgo, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IOSB-INA, Application Center Industrial Automation, Lemgo, Germany","institution_ids":["https://openalex.org/I4210111500"]},{"raw_affiliation_string":"Fraunhofer IOSB-INA, Application Center Industrial Automation, Langenbruch 6, 32657 Lemgo, Germany","institution_ids":["https://openalex.org/I4210111500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012395966","display_name":"Oliver Niggemann","orcid":"https://orcid.org/0000-0001-8747-3596"},"institutions":[{"id":"https://openalex.org/I4210111500","display_name":"Fraunhofer Institute of Optronics, System Technologies and Image Exploitation","ror":"https://ror.org/01zx97922","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210111500","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver Niggemann","raw_affiliation_strings":["Fraunhofer IOSB-INA, Application Center Industrial Automation, Lemgo, Germany","Fraunhofer IOSB-INA, Application Center Industrial Automation, Langenbruch 6, 32657 Lemgo, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IOSB-INA, Application Center Industrial Automation, Lemgo, Germany","institution_ids":["https://openalex.org/I4210111500"]},{"raw_affiliation_string":"Fraunhofer IOSB-INA, Application Center Industrial Automation, Langenbruch 6, 32657 Lemgo, Germany","institution_ids":["https://openalex.org/I4210111500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017548759"],"corresponding_institution_ids":["https://openalex.org/I4210111500"],"apc_list":null,"apc_paid":null,"fwci":1.3464,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82677225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998999834060669,"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":0.988099992275238,"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"}},{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9829000234603882,"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/piecewise","display_name":"Piecewise","score":0.83223557472229},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.8248823881149292},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.7751636505126953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.582866907119751},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.5697456002235413},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5410794615745544},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5155363082885742},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.46224096417427063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45258790254592896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34739571809768677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3103483319282532},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27096790075302124},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12195280194282532}],"concepts":[{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.83223557472229},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8248823881149292},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.7751636505126953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.582866907119751},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.5697456002235413},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5410794615745544},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5155363082885742},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.46224096417427063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45258790254592896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34739571809768677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3103483319282532},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27096790075302124},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12195280194282532},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/etfa.2015.7301465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2015.7301465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 20th Conference on Emerging Technologies &amp; Factory Automation (ETFA)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/390155","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/390155","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5099999904632568,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1505479406","https://openalex.org/W1528619270","https://openalex.org/W1626341607","https://openalex.org/W1985545639","https://openalex.org/W1990067914","https://openalex.org/W1990707482","https://openalex.org/W2033798720","https://openalex.org/W2055616403","https://openalex.org/W2073470720","https://openalex.org/W2084514013","https://openalex.org/W2085755423","https://openalex.org/W2088560243","https://openalex.org/W2105199251","https://openalex.org/W2109559642","https://openalex.org/W2111221349","https://openalex.org/W2119208370","https://openalex.org/W2125838338","https://openalex.org/W2129039806","https://openalex.org/W2145210011","https://openalex.org/W2147941026","https://openalex.org/W2156801658","https://openalex.org/W2163929346","https://openalex.org/W2164069175","https://openalex.org/W2166146957","https://openalex.org/W4235457221","https://openalex.org/W6636555208","https://openalex.org/W6647860882","https://openalex.org/W6682675560"],"related_works":["https://openalex.org/W2136652457","https://openalex.org/W2169849734","https://openalex.org/W2116722627","https://openalex.org/W2129150969","https://openalex.org/W2236912844","https://openalex.org/W1975869217","https://openalex.org/W2401728283","https://openalex.org/W2383829109","https://openalex.org/W2379938888","https://openalex.org/W2386035178"],"abstract_inverted_index":{"In":[0,37],"this":[1,51],"paper,":[2],"fault":[3,110,122,134],"detection":[4,111,123,135],"in":[5,23,50,103],"piecewise":[6,39],"stationary":[7,40],"industrial":[8,127],"processes":[9,13,41,54],"is":[10,68,113],"investigated.":[11],"Such":[12],"can":[14],"be":[15,95],"modeled":[16,80],"as":[17,60,70,81],"sequences":[18],"of":[19,31,142],"distinct":[20],"system":[21,46,72,105],"modes":[22,47,78],"which":[24,115],"the":[25,117,132,143],"respective":[26],"expectation":[27],"values":[28],"and":[29],"variances":[30],"process":[32,90],"variables":[33,84,91],"do":[34],"not":[35],"change.":[36],"particular,":[38],"with":[42,85,98],"autonomous":[43],"transitions":[44],"between":[45],"are":[48,79,92,137],"considered":[49],"work,":[52],"i.e.":[53],"without":[55],"observable":[56],"trigger":[57],"events":[58],"such":[59,75],"on/off":[61],"signals.":[62],"A":[63,107],"Hidden":[64],"Markov":[65],"Model":[66],"(HMM)":[67],"employed":[69],"underlying":[71],"model":[73],"for":[74,125,131,139],"processes.":[76,128],"System":[77],"hidden":[82],"state":[83],"given":[86],"transition":[87],"probabilities.":[88],"Continuous":[89],"assumed":[93],"to":[94],"Gaussian":[96],"distributed":[97],"constant":[99],"second":[100],"order":[101],"statistics":[102],"each":[104],"mode.":[106],"novel":[108],"HMM-based":[109],"method":[112,124,136],"proposed":[114,133],"incorporates":[116],"Viterbi":[118],"algorithm":[119],"into":[120],"a":[121,140],"hybrid":[126],"Experimental":[129],"results":[130],"presented":[138],"module":[141],"Lemgo":[144],"Smart":[145],"Factory.":[146]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
