{"id":"https://openalex.org/W3129573171","doi":"https://doi.org/10.1109/tii.2020.3030179","title":"Data-Driven Fault Diagnosis Using Deep Canonical Variate Analysis and Fisher Discriminant Analysis","display_name":"Data-Driven Fault Diagnosis Using Deep Canonical Variate Analysis and Fisher Discriminant Analysis","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3129573171","doi":"https://doi.org/10.1109/tii.2020.3030179","mag":"3129573171"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2020.3030179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2020.3030179","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/A5031316012","display_name":"Ping Wu","orcid":"https://orcid.org/0000-0002-2729-9669"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping Wu","raw_affiliation_strings":["Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2729-9669","affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055169683","display_name":"Siwei Lou","orcid":"https://orcid.org/0000-0001-6611-4754"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Lou","raw_affiliation_strings":["Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102885567","display_name":"Xujie Zhang","orcid":"https://orcid.org/0000-0002-8293-7539"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xujie Zhang","raw_affiliation_strings":["Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100601603","display_name":"Jiajun He","orcid":"https://orcid.org/0000-0002-2788-2440"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun He","raw_affiliation_strings":["Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043363677","display_name":"Yichao Liu","orcid":"https://orcid.org/0000-0002-4175-7638"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Yichao Liu","raw_affiliation_strings":["Delft Center for Systems and Controls, Delft University of Technology, Delft, CD, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-4175-7638","affiliations":[{"raw_affiliation_string":"Delft Center for Systems and Controls, Delft University of Technology, Delft, CD, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010647753","display_name":"Jinfeng Gao","orcid":"https://orcid.org/0000-0002-7837-7559"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfeng Gao","raw_affiliation_strings":["Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5031316012"],"corresponding_institution_ids":["https://openalex.org/I1328775524"],"apc_list":null,"apc_paid":null,"fwci":6.3976,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.97210614,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"17","issue":"5","first_page":"3324","last_page":"3334"},"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":0.9941999912261963,"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":0.987500011920929,"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/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6856646537780762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5835487246513367},{"id":"https://openalex.org/keywords/random-variate","display_name":"Random variate","score":0.5767133235931396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5533447861671448},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5395170450210571},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.5273709297180176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4575177729129791},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.44515639543533325},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4346487522125244},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37180352210998535},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3513402044773102},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.285838782787323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21786615252494812},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2161262333393097}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6856646537780762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5835487246513367},{"id":"https://openalex.org/C141547133","wikidata":"https://www.wikidata.org/wiki/Q7291996","display_name":"Random variate","level":3,"score":0.5767133235931396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5533447861671448},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5395170450210571},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.5273709297180176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4575177729129791},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.44515639543533325},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4346487522125244},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37180352210998535},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3513402044773102},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.285838782787323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21786615252494812},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2161262333393097},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","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},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2020.3030179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2020.3030179","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":[{"display_name":"Reduced inequalities","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3343467897","display_name":null,"funder_award_id":"61703371","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W189596042","https://openalex.org/W1523385540","https://openalex.org/W1531883353","https://openalex.org/W1533861849","https://openalex.org/W1597576211","https://openalex.org/W1654016072","https://openalex.org/W1677182931","https://openalex.org/W1965875070","https://openalex.org/W1970002409","https://openalex.org/W2002106843","https://openalex.org/W2004186751","https://openalex.org/W2064684025","https://openalex.org/W2088540877","https://openalex.org/W2094535194","https://openalex.org/W2098815387","https://openalex.org/W2100495367","https://openalex.org/W2132029223","https://openalex.org/W2136922672","https://openalex.org/W2141741499","https://openalex.org/W2147129131","https://openalex.org/W2150796457","https://openalex.org/W2158958729","https://openalex.org/W2166042538","https://openalex.org/W2194775991","https://openalex.org/W2217088832","https://openalex.org/W2397271794","https://openalex.org/W2520169384","https://openalex.org/W2587435562","https://openalex.org/W2741385306","https://openalex.org/W2756396991","https://openalex.org/W2759373267","https://openalex.org/W2777815485","https://openalex.org/W2789634333","https://openalex.org/W2903722520","https://openalex.org/W2914474532","https://openalex.org/W2941089296","https://openalex.org/W2963633722","https://openalex.org/W2977049471","https://openalex.org/W4249625715","https://openalex.org/W6607775107","https://openalex.org/W6631216910","https://openalex.org/W6631943919","https://openalex.org/W6733054163"],"related_works":["https://openalex.org/W4254888883","https://openalex.org/W2784077364","https://openalex.org/W1565185441","https://openalex.org/W2356150353","https://openalex.org/W2354323478","https://openalex.org/W4385301753","https://openalex.org/W2171501125","https://openalex.org/W2617234683","https://openalex.org/W1815150721","https://openalex.org/W1977669265"],"abstract_inverted_index":{"In":[0],"this":[1,150],"article,":[2],"a":[3,35,57,79],"novel":[4],"data-driven":[5],"fault":[6,64,121,131,139],"diagnosis":[7,65,132,140],"method":[8],"by":[9,27,47,75],"combining":[10],"deep":[11,31,49],"canonical":[12,32,38],"variate":[13,39],"analysis":[14,18,40],"and":[15,103],"Fisher":[16],"discriminant":[17],"(DCVA-FDA)":[19],"is":[20,44,60,68,83,133],"proposed":[21,129],"for":[22,62],"complex":[23],"industrial":[24,105],"processes.":[25],"Inspired":[26],"the":[28,63,71,86,94,108,117,128,138],"recently":[29],"developed":[30,46],"correlation":[33],"analysis,":[34],"new":[36],"nonlinear":[37],"(CVA)":[41],"called":[42],"DCVA":[43],"first":[45],"incorporating":[48],"neural":[50],"networks":[51],"into":[52],"CVA.":[53],"Based":[54],"on":[55],"DCVA,":[56],"residual":[58,76],"generator":[59],"designed":[61],"process.":[66],"FDA":[67,91],"applied":[69],"in":[70,85,149],"feature":[72],"space":[73,89],"spanned":[74],"vectors.":[77],"Then,":[78],"Bayesian":[80],"inference":[81],"classifier":[82],"performed":[84],"reduced":[87],"dimensional":[88],"of":[90,96,107,119],"to":[92,115,135,144],"label":[93],"class":[95],"process":[97,111],"data.":[98],"A":[99],"continuous":[100],"stirred-tank":[101],"reactor":[102],"an":[104],"benchmark":[106],"Tennessee":[109],"Eastman":[110],"are":[112],"carried":[113],"out":[114],"test":[116],"performance":[118,141],"DCVA-FDA":[120,130],"diagnosis.":[122],"The":[123],"experimental":[124],"results":[125],"demonstrate":[126],"that":[127],"able":[134],"significantly":[136],"improve":[137],"when":[142],"compared":[143],"other":[145],"methods":[146],"also":[147],"examined":[148],"article.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
