{"id":"https://openalex.org/W2979531041","doi":"https://doi.org/10.23919/sice.2019.8859934","title":"Constructing workflow models of alarm responses via trace labeling and dependency analysis","display_name":"Constructing workflow models of alarm responses via trace labeling and dependency analysis","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2979531041","doi":"https://doi.org/10.23919/sice.2019.8859934","mag":"2979531041"},"language":"en","primary_location":{"id":"doi:10.23919/sice.2019.8859934","is_oa":false,"landing_page_url":"https://doi.org/10.23919/sice.2019.8859934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","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/A5036023046","display_name":"Wenkai Hu","orcid":"https://orcid.org/0000-0002-9109-2849"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Wenkai HU","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of Alberta, Edmonton, Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Alberta, Edmonton, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037989105","display_name":"Tongwen Chen","orcid":"https://orcid.org/0000-0002-1699-7947"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tongwen Chen","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of Alberta, Edmonton, Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Alberta, Edmonton, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052928809","display_name":"Gordon Meyer","orcid":null},"institutions":[{"id":"https://openalex.org/I136486123","display_name":"Suncor Energy (Canada)","ror":"https://ror.org/02q291e51","country_code":"CA","type":"company","lineage":["https://openalex.org/I136486123"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Gordon Meyer","raw_affiliation_strings":["Suncor Energy Canadian Logistics, Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"Suncor Energy Canadian Logistics, Alberta, Canada","institution_ids":["https://openalex.org/I136486123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036023046"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":0.4989,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6602728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1615","last_page":"1620"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9872999787330627,"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":0.9872999787330627,"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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7652068734169006},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.7532267570495605},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7245047688484192},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6888924837112427},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.6646053791046143},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.6165688633918762},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6088187098503113},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.5449120998382568},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5156096816062927},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47602349519729614},{"id":"https://openalex.org/keywords/process-mining","display_name":"Process mining","score":0.4469006061553955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3689064681529999},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3307947516441345},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.31106337904930115},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.23348453640937805},{"id":"https://openalex.org/keywords/business-process","display_name":"Business process","score":0.12072157859802246},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11459600925445557},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10940417647361755}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7652068734169006},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.7532267570495605},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7245047688484192},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6888924837112427},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.6646053791046143},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.6165688633918762},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6088187098503113},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.5449120998382568},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5156096816062927},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47602349519729614},{"id":"https://openalex.org/C124670913","wikidata":"https://www.wikidata.org/wiki/Q2608526","display_name":"Process mining","level":5,"score":0.4469006061553955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3689064681529999},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3307947516441345},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.31106337904930115},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.23348453640937805},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.12072157859802246},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11459600925445557},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10940417647361755},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C207505557","wikidata":"https://www.wikidata.org/wiki/Q4374012","display_name":"Business process modeling","level":4,"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/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/sice.2019.8859934","is_oa":false,"landing_page_url":"https://doi.org/10.23919/sice.2019.8859934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W621660085","https://openalex.org/W1490658580","https://openalex.org/W1497007062","https://openalex.org/W1509056567","https://openalex.org/W1598385458","https://openalex.org/W1993186055","https://openalex.org/W2035663515","https://openalex.org/W2043798016","https://openalex.org/W2057772375","https://openalex.org/W2072011083","https://openalex.org/W2072044376","https://openalex.org/W2081568093","https://openalex.org/W2116941960","https://openalex.org/W2155358700","https://openalex.org/W2276633702","https://openalex.org/W2535326615","https://openalex.org/W2737803075","https://openalex.org/W2750776353","https://openalex.org/W2753524555","https://openalex.org/W2767347747","https://openalex.org/W2800094886","https://openalex.org/W2895906137","https://openalex.org/W4230145224","https://openalex.org/W6629677911","https://openalex.org/W6677506521","https://openalex.org/W6683182061"],"related_works":["https://openalex.org/W1828158523","https://openalex.org/W2047547195","https://openalex.org/W1584123598","https://openalex.org/W204175656","https://openalex.org/W1993992974","https://openalex.org/W2731305060","https://openalex.org/W1512294453","https://openalex.org/W2738234280","https://openalex.org/W2550734047","https://openalex.org/W2550163629"],"abstract_inverted_index":{"Human":[0],"factors":[1],"are":[2,44],"critical":[3],"to":[4,21,55,72,81],"industrial":[5,139],"alarm":[6,34,42],"monitoring.":[7],"Learning":[8],"how":[9],"operators":[10,61],"cope":[11],"with":[12],"alarms":[13],"and":[14,28,41,105,120],"manage":[15],"abnormal":[16],"situations":[17],"would":[18],"be":[19],"helpful":[20],"prevent":[22],"the":[23,57,117,121,127],"repetition":[24],"of":[25,38,59,76,93,126],"human":[26],"errors":[27],"provide":[29],"decision":[30],"supports":[31],"for":[32],"realtime":[33],"responses.":[35],"The":[36,91,124],"events":[37],"operator":[39,77,94],"actions":[40,78],"notifications":[43],"recorded":[45],"in":[46,79],"Alarm":[47],"&":[48],"Event":[49],"(A&E)":[50],"logs,":[51],"making":[52],"it":[53],"available":[54],"capture":[56],"experience":[58],"skilled":[60],"from":[62,87,136],"historical":[63,88],"data.":[64],"This":[65],"paper":[66],"presents":[67],"a":[68,99,108,137],"data":[69,135],"driven":[70],"method":[71,111,129],"construct":[73],"workflow":[74],"models":[75],"response":[80],"alarms,":[82],"either":[83],"univariate":[84],"or":[85],"multivariate,":[86],"A&E":[89,134],"logs.":[90],"discovery":[92,110],"responses":[95],"is":[96,130],"formulated":[97],"as":[98],"causal":[100],"net":[101],"model":[102],"construction":[103],"problem":[104],"solved":[106],"via":[107],"process":[109],"comprised":[112],"by":[113],"two":[114],"steps,":[115],"namely,":[116],"trace":[118],"labeling":[119],"dependency":[122],"analysis.":[123],"effectiveness":[125],"proposed":[128],"demonstrated":[131],"based":[132],"on":[133],"real":[138],"facility.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
