{"id":"https://openalex.org/W4407918626","doi":"https://doi.org/10.3390/a18030130","title":"Incremental Pyraformer\u2013Deep Canonical Correlation Analysis: A Novel Framework for Effective Fault Detection in Dynamic Nonlinear Processes","display_name":"Incremental Pyraformer\u2013Deep Canonical Correlation Analysis: A Novel Framework for Effective Fault Detection in Dynamic Nonlinear Processes","publication_year":2025,"publication_date":"2025-02-25","ids":{"openalex":"https://openalex.org/W4407918626","doi":"https://doi.org/10.3390/a18030130"},"language":"en","primary_location":{"id":"doi:10.3390/a18030130","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a18030130","pdf_url":"https://www.mdpi.com/1999-4893/18/3/130/pdf?version=1740485929","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/18/3/130/pdf?version=1740485929","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102610570","display_name":"Yucheng Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yucheng Ding","raw_affiliation_strings":["Department of Mechanical Engineering, Shantou University, Shantou 515063, China"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Shantou University, Shantou 515063, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033963132","display_name":"Yingfeng Zhang","orcid":"https://orcid.org/0000-0001-9547-381X"},"institutions":[{"id":"https://openalex.org/I4210099747","display_name":"GoerTek (China)","ror":"https://ror.org/016v9qm56","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210099747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingfeng Zhang","raw_affiliation_strings":["Goertek Inc., Weifang 261061, China"],"affiliations":[{"raw_affiliation_string":"Goertek Inc., Weifang 261061, China","institution_ids":["https://openalex.org/I4210099747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061294879","display_name":"Jianfeng Huang","orcid":"https://orcid.org/0000-0002-2610-6722"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Huang","raw_affiliation_strings":["Department of Mechanical Engineering, Shantou University, Shantou 515063, China"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Shantou University, Shantou 515063, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032731281","display_name":"Shitong Peng","orcid":"https://orcid.org/0000-0002-8490-8985"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shitong Peng","raw_affiliation_strings":["Department of Mechanical Engineering, Shantou University, Shantou 515063, China"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Shantou University, Shantou 515063, China","institution_ids":["https://openalex.org/I32574673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032731281"],"corresponding_institution_ids":["https://openalex.org/I32574673"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":3.9143,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.92191978,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"18","issue":"3","first_page":"130","last_page":"130"},"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9966999888420105,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.97079998254776,"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/canonical-correlation","display_name":"Canonical correlation","score":0.8244442343711853},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6973586082458496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6218055486679077},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.6170863509178162},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.551209032535553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31615376472473145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30220967531204224},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12684029340744019}],"concepts":[{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.8244442343711853},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6973586082458496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6218055486679077},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.6170863509178162},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.551209032535553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31615376472473145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30220967531204224},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12684029340744019},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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":2,"locations":[{"id":"doi:10.3390/a18030130","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a18030130","pdf_url":"https://www.mdpi.com/1999-4893/18/3/130/pdf?version=1740485929","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9b6014fe1882472498704d429895ae22","is_oa":true,"landing_page_url":"https://doaj.org/article/9b6014fe1882472498704d429895ae22","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 18, Iss 3, p 130 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/a18030130","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a18030130","pdf_url":"https://www.mdpi.com/1999-4893/18/3/130/pdf?version=1740485929","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2761791959","display_name":null,"funder_award_id":"52305544","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":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4407918626.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1689711448","https://openalex.org/W2004186751","https://openalex.org/W2013821261","https://openalex.org/W2033800551","https://openalex.org/W2039839604","https://openalex.org/W2120572720","https://openalex.org/W2217088832","https://openalex.org/W2566903095","https://openalex.org/W2612869868","https://openalex.org/W2789634333","https://openalex.org/W2792853279","https://openalex.org/W2810688721","https://openalex.org/W2963608065","https://openalex.org/W2973151618","https://openalex.org/W2980472264","https://openalex.org/W2983926857","https://openalex.org/W3018109943","https://openalex.org/W3032109385","https://openalex.org/W3138794164","https://openalex.org/W3154687200","https://openalex.org/W3173539742","https://openalex.org/W3200063094","https://openalex.org/W3211697751","https://openalex.org/W3216280806","https://openalex.org/W4225494949","https://openalex.org/W4239167255","https://openalex.org/W4249625715","https://openalex.org/W4375928281","https://openalex.org/W6631216910","https://openalex.org/W6889955440"],"related_works":["https://openalex.org/W2367413540","https://openalex.org/W1968846550","https://openalex.org/W1991315556","https://openalex.org/W4387164999","https://openalex.org/W2070623039","https://openalex.org/W2006749424","https://openalex.org/W3131670725","https://openalex.org/W2155515508","https://openalex.org/W2334424990","https://openalex.org/W2354853260"],"abstract_inverted_index":{"Smart":[0],"manufacturing":[1],"systems":[2],"aim":[3],"to":[4,106],"enhance":[5],"the":[6,72,77,80,100,135,154,176,179,197,212],"efficiency,":[7],"adaptability,":[8],"and":[9,26,38,118,127,145,189,218,230],"reliability":[10],"of":[11,76],"industrial":[12,33,44,130],"operations":[13],"through":[14],"advanced":[15],"data-driven":[16,51],"approaches.":[17],"Achieving":[18],"these":[19,57],"objectives":[20],"hinges":[21],"on":[22,134],"accurate":[23],"fault":[24,52,123],"detection":[25,53,124,151],"timely":[27],"maintenance,":[28],"especially":[29],"in":[30,41,87,125,175,196,215],"highly":[31],"dynamic":[32,42,219],"environments.":[34,131],"However,":[35],"capturing":[36],"nonlinear":[37,43],"temporal":[39,97,119],"dependencies":[40],"processes":[45],"poses":[46],"significant":[47],"challenges":[48],"for":[49,84,227],"traditional":[50],"methods.":[54],"To":[55],"address":[56],"limitations,":[58],"this":[59],"study":[60],"presents":[61],"an":[62],"Incremental":[63],"Pyraformer\u2013Deep":[64],"Canonical":[65],"Correlation":[66],"Analysis":[67],"(DCCA)":[68],"framework":[69,114,158],"that":[70],"integrates":[71],"Pyramidal":[73],"Attention":[74],"Mechanism":[75],"Pyraformer":[78,92],"with":[79,165,206],"Broad":[81],"Learning":[82],"System":[83],"incremental":[85,102],"learning":[86,103],"a":[88,160,166,182,203,224],"DCCA":[89,172],"basis.":[90],"The":[91,112,209],"model":[93],"effectively":[94],"captures":[95],"multi-scale":[96],"features,":[98],"while":[99,195],"BLS-based":[101],"mechanism":[104],"adapts":[105],"evolving":[107],"data":[108,220],"without":[109],"full":[110],"retraining.":[111],"proposed":[113],"enhances":[115],"both":[116],"spatial":[117],"representation,":[120],"enabling":[121],"robust":[122],"high-dimensional":[126],"continuously":[128],"changing":[129],"Experimental":[132],"validation":[133],"Tennessee":[136],"Eastman":[137],"(TE)":[138],"process,":[139,200],"Continuous":[140],"Stirred-Tank":[141],"Reactor":[142],"(CSTR)":[143],"system,":[144],"injection":[146,198],"molding":[147,199],"process":[148],"demonstrated":[149],"superior":[150],"performance.":[152],"In":[153],"TE":[155],"scenario,":[156],"our":[157],"achieved":[159],"100%":[161,184],"Fault":[162,185],"Detection":[163,186],"Rate":[164,187,193],"4.35%":[167],"False":[168,191],"Alarm":[169,192],"Rate,":[170],"surpassing":[171],"variants.":[173],"Similarly,":[174],"CSTR":[177],"case,":[178],"approach":[180,226],"reached":[181],"perfect":[183],"(FDR)":[188],"3.48%":[190],"(FAR),":[194],"it":[201],"delivered":[202],"97.02%":[204],"FDR":[205],"0%":[207],"FAR.":[208],"findings":[210],"underline":[211],"framework\u2019s":[213],"effectiveness":[214],"handling":[216],"complex":[217],"streams,":[221],"thereby":[222],"providing":[223],"powerful":[225],"real-time":[228],"monitoring":[229],"proactive":[231],"maintenance.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}