{"id":"https://openalex.org/W4386025950","doi":"https://doi.org/10.1109/tase.2023.3305524","title":"A Correlation Analysis-Based Multivariate Alarm Method With Maximum Likelihood Evidential Reasoning","display_name":"A Correlation Analysis-Based Multivariate Alarm Method With Maximum Likelihood Evidential Reasoning","publication_year":2023,"publication_date":"2023-08-21","ids":{"openalex":"https://openalex.org/W4386025950","doi":"https://doi.org/10.1109/tase.2023.3305524"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2023.3305524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2023.3305524","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-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/A5039045485","display_name":"Xu Weng","orcid":"https://orcid.org/0000-0002-4232-9096"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Weng","raw_affiliation_strings":["School of Automation, China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, Hangzhou Dianzi University, Hangzhou, China","China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, School of Automation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4232-9096","affiliations":[{"raw_affiliation_string":"School of Automation, China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074117281","display_name":"Xiaobin Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobin Xu","raw_affiliation_strings":["School of Automation, China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, Hangzhou Dianzi University, Hangzhou, China","China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, School of Automation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1822-6190","affiliations":[{"raw_affiliation_string":"School of Automation, China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101156717","display_name":"Jing Feng","orcid":"https://orcid.org/0009-0006-8518-8664"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Feng","raw_affiliation_strings":["School of Automation, China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, Hangzhou Dianzi University, Hangzhou, China","China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, School of Automation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"China-Austria Belt and Road Joint Laboratory on Artificial Intelligence and Advanced Manufacturing, School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021998517","display_name":"Xufeng Shen","orcid":"https://orcid.org/0000-0002-2424-5083"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xufeng Shen","raw_affiliation_strings":["Hangzhou Qianhang Shipyard Company Ltd., Hangzhou, China","Hangzhou Qianhang Shipyard Company Ltd, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Qianhang Shipyard Company Ltd., Hangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Hangzhou Qianhang Shipyard Company Ltd, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101193881","display_name":"Jianfang Meng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianfang Meng","raw_affiliation_strings":["M-U-T Maschinen-Umwelttechnik-Transportanlagen GmbH, Stockerau, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"M-U-T Maschinen-Umwelttechnik-Transportanlagen GmbH, Stockerau, Austria","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055267150","display_name":"Felix Steyskal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Felix Steyskal","raw_affiliation_strings":["M-U-T Maschinen-Umwelttechnik-Transportanlagen GmbH, Stockerau, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"M-U-T Maschinen-Umwelttechnik-Transportanlagen GmbH, Stockerau, Austria","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5039045485"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":1.7934,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.85042124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"21","issue":"4","first_page":"4974","last_page":"4986"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9921000003814697,"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":0.9921000003814697,"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/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9584000110626221,"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/multivariate-statistics","display_name":"Multivariate statistics","score":0.7846909761428833},{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.5931127071380615},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.5640168786048889},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5434674024581909},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.5305505394935608},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4582821726799011},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.44307535886764526},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4341874122619629},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40698927640914917},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4009234309196472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35938745737075806},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31679534912109375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24778136610984802},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19143393635749817}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7846909761428833},{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.5931127071380615},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.5640168786048889},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5434674024581909},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.5305505394935608},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4582821726799011},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.44307535886764526},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4341874122619629},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40698927640914917},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4009234309196472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35938745737075806},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31679534912109375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24778136610984802},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19143393635749817},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2023.3305524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2023.3305524","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G3384686617","display_name":null,"funder_award_id":"52171352","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3572630017","display_name":null,"funder_award_id":"LGF21F020013","funder_id":"https://openalex.org/F4320338465","funder_display_name":"Zhejiang Province Public Welfare Technology Application Research Project"},{"id":"https://openalex.org/G4485314317","display_name":null,"funder_award_id":"2022YFE0210700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320338465","display_name":"Zhejiang Province Public Welfare Technology Application Research Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2046271758","https://openalex.org/W2072011083","https://openalex.org/W2184385594","https://openalex.org/W2253992544","https://openalex.org/W2606970447","https://openalex.org/W2743767892","https://openalex.org/W2892018938","https://openalex.org/W2980798755","https://openalex.org/W3015634218","https://openalex.org/W3033020497","https://openalex.org/W3047463300","https://openalex.org/W3049635723","https://openalex.org/W3088037555","https://openalex.org/W3093903780","https://openalex.org/W3100583336","https://openalex.org/W3113029042","https://openalex.org/W3117430580","https://openalex.org/W3136429523","https://openalex.org/W3166788799","https://openalex.org/W3197290064","https://openalex.org/W3200406765","https://openalex.org/W3200545308","https://openalex.org/W3200730656","https://openalex.org/W3209980381","https://openalex.org/W3212045841","https://openalex.org/W3215465935","https://openalex.org/W4206552269","https://openalex.org/W4213193991","https://openalex.org/W4224279137","https://openalex.org/W4312808112"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W40745829","https://openalex.org/W1978357124","https://openalex.org/W1578824628","https://openalex.org/W2032728545","https://openalex.org/W1570805059","https://openalex.org/W4250754046","https://openalex.org/W4318262572","https://openalex.org/W2036849593","https://openalex.org/W1978174651"],"abstract_inverted_index":{"Correlations":[0],"among":[1,40,84,305],"process":[2,42,86,104,210,223,250,259,281,283,307,314],"variables":[3,43,158,224,251,308],"and":[4,25,44,72,94,124,130,134,165,169,212,220,252,257,309,320,335],"inconsistencies":[5],"in":[6,13,18,31],"alarm":[7,15,33,47,57,108,116,138,146,171,243,271,288,292,322],"decision":[8,69,323],"making":[9,45,70],"are":[10,35,113,173,230,285],"quite":[11],"common":[12],"multivariate":[14,32,56,193,242,342],"analysis,":[16],"resulting":[17],"a":[19,52,66,206,241],"large":[20,207],"number":[21,208],"of":[22,152,182,209,217,235,249,254,268,276,280,291,313],"false":[23],"alarms":[24],"missed":[26],"alarms.":[27],"The":[28,233,261],"greatest":[29],"challenges":[30],"analysis":[34,248],"therefore":[36,188],"analyzing":[37],"overall":[38,82,303],"correlations":[39,83,129,304],"all":[41,85,306],"integrated":[46,170,321],"decisions.":[48],"In":[49,294],"this":[50,144,236],"work,":[51],"novel":[53],"correlation":[54,247],"analysis-based":[55],"method":[58,244,298],"is":[59,76,140,238,326,333],"developed":[60],"to":[61,102,191,199,239,317,339],"address":[62],"these":[63,222],"problems.":[64],"First,":[65],"statistical":[67],"characteristic-driven":[68],"trial":[71],"evaluation":[73],"laboratory":[74],"(DEMATEL)":[75],"proposed":[77,184,297],"that":[78,328],"can":[79,99,187,299,336],"analyze":[80],"the":[81,89,122,127,131,136,150,180,183,214,246,266,269,274,277,296,302,329],"variables.":[87],"Second,":[88],"sample":[90],"space":[91,96],"model":[92,97],"(SSM)":[93],"evidence":[95,117,139,147,289],"(ESM)":[98],"be":[100,189,337],"used":[101],"convert":[103],"data":[105,284],"into":[106,115,287],"reference":[107],"evidence.":[109],"Third,":[110],"online":[111],"samples":[112],"transformed":[114,286],"by":[118,142],"matching":[119],"them":[120],"with":[121,213,226],"ESMs":[123],"holistically":[125],"considering":[126],"data-level":[128],"evidence-level":[132],"reliability":[133],"weight;":[135],"comprehensive":[137],"obtained":[141],"fusing":[143],"matched":[145],"generated":[148],"from":[149],"information":[151,262,316,330],"highly":[153],"correlated":[154],"or":[155,229],"even":[156,231],"colinear":[157],"via":[159],"maximum":[160],"likelihood":[161],"evidential":[162],"reasoning":[163],"(MAKER),":[164],"thus,":[166],"more":[167],"accurate":[168],"decisions":[172],"made.":[174],"A":[175],"real":[176,341],"case":[177],"study":[178,237],"shows":[179],"superiority":[181],"method,":[185],"which":[186],"generalized":[190],"other":[192,228,340],"industrial":[194,202,343],"processes.":[195,344],"<italic":[196],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[197],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Note":[198],"Practitioners</i>":[200],"\u2014Multivariate":[201],"processes":[203],"generally":[204],"have":[205],"variables,":[211],"rapid":[215],"transfer":[216],"energy,":[218],"material,":[219],"information,":[221,282],"interact":[225],"each":[227,311],"colinear.":[232],"focus":[234],"develop":[240],"for":[245],"fusion":[253,263,331],"complementary,":[255],"redundant":[256],"contradictory":[258],"information.":[260],"concept":[264,332],"takes":[265],"place":[267],"conventional":[270],"mechanism.":[272],"From":[273],"perspective":[275],"precise":[278],"characterization":[279],"instead":[290],"data.":[293],"addition,":[295],"fully":[300],"consider":[301],"fuse":[310],"piece":[312],"variable":[315],"yield":[318],"correct":[319],"results.":[324],"It":[325],"noted":[327],"universal":[334],"extended":[338]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}