{"id":"https://openalex.org/W2854109523","doi":"https://doi.org/10.1109/tii.2018.2855189","title":"Hierarchical Monitoring and Root-Cause Diagnosis Framework for Key Performance Indicator-Related Multiple Faults in Process Industries","display_name":"Hierarchical Monitoring and Root-Cause Diagnosis Framework for Key Performance Indicator-Related Multiple Faults in Process Industries","publication_year":2018,"publication_date":"2018-07-12","ids":{"openalex":"https://openalex.org/W2854109523","doi":"https://doi.org/10.1109/tii.2018.2855189","mag":"2854109523"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2018.2855189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2018.2855189","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5107964173","display_name":"Liang Ma","orcid":"https://orcid.org/0000-0003-1292-5310"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Ma","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1292-5310","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459936","display_name":"Jie Dong","orcid":"https://orcid.org/0000-0001-7585-6637"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Dong","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016153320","display_name":"Kaixiang Peng","orcid":"https://orcid.org/0000-0001-8314-3047"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixiang Peng","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8314-3047","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068225288","display_name":"Chuanfang Zhang","orcid":"https://orcid.org/0000-0002-4058-6566"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanfang Zhang","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4058-6566","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":4.1105,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.94391635,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"15","issue":"4","first_page":"2091","last_page":"2100"},"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9763000011444092,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/root-cause-analysis","display_name":"Root cause analysis","score":0.7656217217445374},{"id":"https://openalex.org/keywords/root-cause","display_name":"Root cause","score":0.6605257391929626},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6403459906578064},{"id":"https://openalex.org/keywords/performance-indicator","display_name":"Performance indicator","score":0.6314824819564819},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5635824799537659},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.5428083539009094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5172903537750244},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5099154710769653},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48428720235824585},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47549116611480713},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.45607712864875793},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4489172101020813},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.44482123851776123},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4248754382133484},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4138074517250061},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26307618618011475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1096360981464386},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08658507466316223}],"concepts":[{"id":"https://openalex.org/C130963320","wikidata":"https://www.wikidata.org/wiki/Q1401207","display_name":"Root cause analysis","level":2,"score":0.7656217217445374},{"id":"https://openalex.org/C84945661","wikidata":"https://www.wikidata.org/wiki/Q7366567","display_name":"Root cause","level":2,"score":0.6605257391929626},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6403459906578064},{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.6314824819564819},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5635824799537659},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.5428083539009094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5172903537750244},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5099154710769653},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48428720235824585},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47549116611480713},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.45607712864875793},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4489172101020813},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.44482123851776123},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4248754382133484},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4138074517250061},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26307618618011475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1096360981464386},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08658507466316223},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2018.2855189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2018.2855189","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G1981518303","display_name":null,"funder_award_id":"#61773053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5168730683","display_name":"\u8d28\u91cf\u76f8\u5173\u7684\u591a\u5de5\u51b5\u52a8\u6001\u95f4\u6b47\u8fc7\u7a0b\u5efa\u6a21\u53ca\u6545\u969c\u8bca\u65ad\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61473033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1130732523","https://openalex.org/W1978677160","https://openalex.org/W1984672166","https://openalex.org/W1990916425","https://openalex.org/W1996336707","https://openalex.org/W2014246934","https://openalex.org/W2022243308","https://openalex.org/W2039839604","https://openalex.org/W2040825652","https://openalex.org/W2049809778","https://openalex.org/W2098815387","https://openalex.org/W2131335073","https://openalex.org/W2137922462","https://openalex.org/W2165700458","https://openalex.org/W2296641122","https://openalex.org/W2343217457","https://openalex.org/W2398426870","https://openalex.org/W2512701384","https://openalex.org/W2514088303","https://openalex.org/W2565025742","https://openalex.org/W2706355003","https://openalex.org/W2754813553","https://openalex.org/W2755033092","https://openalex.org/W2756109228","https://openalex.org/W2765774435","https://openalex.org/W2765871399","https://openalex.org/W2775432693","https://openalex.org/W2775523681","https://openalex.org/W2789634333","https://openalex.org/W2790035102","https://openalex.org/W3014771378","https://openalex.org/W3148981562","https://openalex.org/W3151903089","https://openalex.org/W4245241719","https://openalex.org/W4249625715","https://openalex.org/W6676189307"],"related_works":["https://openalex.org/W2030594396","https://openalex.org/W2754538212","https://openalex.org/W3045668461","https://openalex.org/W2490884653","https://openalex.org/W4200610016","https://openalex.org/W4255366506","https://openalex.org/W2183996497","https://openalex.org/W2056250485","https://openalex.org/W129587375","https://openalex.org/W2110363179"],"abstract_inverted_index":{"In":[0],"actual":[1],"production":[2],"processes,":[3],"the":[4,22,67,72,86,91,107,121,125,141,146],"occurrence":[5],"probability":[6],"of":[7,15,45,145],"multiple":[8,51,60],"faults":[9,52],"is":[10,33,64,82,103,137],"much":[11],"higher":[12],"than":[13],"that":[14],"a":[16,57,96,128],"single":[17],"fault,":[18],"which":[19,110],"will":[20,111],"affect":[21],"process":[23,54,122],"industry":[24,130],"operating":[25],"performance":[26,47,142],"and":[27,38,43,119,143],"final":[28,87],"products":[29],"quality.":[30],"This":[31],"paper":[32],"concerned":[34],"with":[35,149],"industrial":[36,151],"practices":[37],"theoretical":[39],"approaches":[40],"for":[41,105],"detection":[42],"location":[44],"key":[46],"indicator":[48],"(KPI)":[49],"related":[50],"in":[53],"industries.":[55],"First,":[56],"new":[58],"KPI-related":[59],"fault":[61],"monitoring":[62,88],"scheme":[63],"addressed":[65],"from":[66,90],"subprocess":[68],"level":[69],"based":[70],"on":[71],"developed":[73],"correlation-based":[74],"canonical":[75],"variable":[76],"analysis":[77,101],"model.":[78],"Then,":[79],"Bayesian":[80],"fusion":[81],"implemented":[83],"to":[84,115,127,139],"form":[85],"decisions":[89],"plantwide":[92],"level.":[93],"After":[94],"that,":[95],"tensor":[97],"subspace":[98],"analysis-based":[99],"discriminant":[100],"method":[102],"proposed":[104,147],"locating":[106],"root":[108],"causes,":[109],"help":[112],"field":[113],"engineers":[114],"take":[116],"correction":[117],"actions":[118],"recover":[120],"operations.":[123],"Finally,":[124],"application":[126],"typical":[129],"process,":[131,136],"i.e.,":[132],"hot":[133],"strip":[134],"mill":[135],"given":[138],"demonstrate":[140],"effectiveness":[144],"methods":[148],"real":[150],"data.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":8}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
