{"id":"https://openalex.org/W4391582492","doi":"https://doi.org/10.1109/tii.2024.3353840","title":"Key-Performance-Indicator-Related Fault Detection Based on Deep Orthonormal Subspace Analysis","display_name":"Key-Performance-Indicator-Related Fault Detection Based on Deep Orthonormal Subspace Analysis","publication_year":2024,"publication_date":"2024-02-06","ids":{"openalex":"https://openalex.org/W4391582492","doi":"https://doi.org/10.1109/tii.2024.3353840"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2024.3353840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3353840","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/A5101586571","display_name":"Rongrong Sun","orcid":"https://orcid.org/0000-0002-2543-7028"},"institutions":[{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rongrong Sun","raw_affiliation_strings":["School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China","institution_ids":["https://openalex.org/I44468530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074977317","display_name":"Youqing Wang","orcid":"https://orcid.org/0000-0001-6245-1550"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youqing Wang","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101586571"],"corresponding_institution_ids":["https://openalex.org/I44468530"],"apc_list":null,"apc_paid":null,"fwci":2.5554,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90065348,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"20","issue":"5","first_page":"7249","last_page":"7258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.8176000118255615,"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":0.8176000118255615,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.758400022983551,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.6708999872207642,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7244575619697571},{"id":"https://openalex.org/keywords/orthonormal-basis","display_name":"Orthonormal basis","score":0.650468111038208},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.61427241563797},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6086297035217285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5852741003036499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3990221619606018},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3985362946987152},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13918271660804749}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7244575619697571},{"id":"https://openalex.org/C5806529","wikidata":"https://www.wikidata.org/wiki/Q2365325","display_name":"Orthonormal basis","level":2,"score":0.650468111038208},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.61427241563797},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6086297035217285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5852741003036499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3990221619606018},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3985362946987152},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13918271660804749},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"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":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2024.3353840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3353840","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":[],"awards":[{"id":"https://openalex.org/G7387540070","display_name":null,"funder_award_id":"62303258","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8888346363","display_name":null,"funder_award_id":"62225303","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2005438552","https://openalex.org/W2052828853","https://openalex.org/W2060188270","https://openalex.org/W2062994871","https://openalex.org/W2103711750","https://openalex.org/W2108488321","https://openalex.org/W2128921897","https://openalex.org/W2158863190","https://openalex.org/W2413579316","https://openalex.org/W2563202971","https://openalex.org/W2736564549","https://openalex.org/W2888588474","https://openalex.org/W2916669334","https://openalex.org/W2998796625","https://openalex.org/W3002481680","https://openalex.org/W3005815918","https://openalex.org/W3024865103","https://openalex.org/W3047865406","https://openalex.org/W3080565888","https://openalex.org/W3090213729","https://openalex.org/W3125110524","https://openalex.org/W3125815119","https://openalex.org/W3154504804","https://openalex.org/W3163885119","https://openalex.org/W3199080151","https://openalex.org/W3206154185","https://openalex.org/W4210760836","https://openalex.org/W4213193991","https://openalex.org/W4286374812","https://openalex.org/W4286655775","https://openalex.org/W4309835919","https://openalex.org/W4312258136"],"related_works":["https://openalex.org/W2370850565","https://openalex.org/W2381894435","https://openalex.org/W1980381208","https://openalex.org/W2296214397","https://openalex.org/W2951195293","https://openalex.org/W2029951831","https://openalex.org/W3141309046","https://openalex.org/W2497125423","https://openalex.org/W1529452180","https://openalex.org/W4253219045"],"abstract_inverted_index":{"As":[0],"a":[1,41,47,138],"novel":[2],"multivariable":[3],"regression":[4],"method,":[5],"orthonormal":[6,21],"subspace":[7],"analysis":[8],"(OSA)":[9],"divides":[10],"input":[11,92],"data":[12,18],"and":[13,58,74,93,133,141,175],"key":[14],"performance":[15],"indicators":[16],"(KPIs)":[17],"into":[19,109],"three":[20],"subspaces,":[22,111,130],"resulting":[23],"in":[24,30,61,173],"effective":[25],"detection":[26,35,126],"of":[27,36,122,128,153],"KPI-related":[28,72,107,114,171],"faults":[29,38],"industrial":[31],"processes.":[32],"However,":[33],"the":[34,65,71,89,96,125,151,154,161],"incipient":[37,55,120,170],"is":[39,51,84,101],"still":[40],"challenging":[42],"problem.":[43],"To":[44],"this":[45,62],"end,":[46],"deep":[48,97,163],"OSA":[49,164],"model":[50],"established":[52],"to":[53,81,86,105,149],"extract":[54],"fault":[56,131,172],"information":[57,73,76,108,115],"detect":[59],"it":[60],"article.":[63],"First,":[64],"correlation":[66,90],"matrix":[67],"(CM),":[68],"based":[69],"on":[70,103],"input-related":[75],"that":[77,160],"are":[78,135,147],"completely":[79],"orthogonal":[80],"irrelevant":[82],"information,":[83],"calculated":[85],"accurately":[87],"describe":[88],"between":[91],"KPIs.":[94],"Second,":[95],"singular":[98],"value":[99],"decomposition":[100],"performed":[102],"CM":[104],"divide":[106],"multiple":[110,129],"deeply":[112],"separate":[113],"and,":[116],"not":[117],"least,":[118],"mine":[119],"features":[121],"data.":[123],"Furthermore,":[124],"statistics":[127],"detectability,":[132],"complexity":[134],"presented.":[136],"Finally,":[137],"numerical":[139],"example":[140],"an":[142],"actual":[143],"thermal":[144],"power":[145],"plant":[146],"employed":[148],"confirm":[150],"validity":[152],"proposed":[155,162],"method.":[156],"The":[157],"results":[158],"demonstrate":[159],"achieves":[165],"much":[166],"better":[167],"detectability":[168],"for":[169],"theoretical":[174],"engineering":[176],"application":[177],"than":[178],"some":[179],"other":[180],"existing":[181],"methods.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
