{"id":"https://openalex.org/W4402216119","doi":"https://doi.org/10.1109/tcyb.2024.3447108","title":"A Graph-Based Time-Frequency Two-Stream Network for Multistep Prediction of Key Performance Indicators in Industrial Processes","display_name":"A Graph-Based Time-Frequency Two-Stream Network for Multistep Prediction of Key Performance Indicators in Industrial Processes","publication_year":2024,"publication_date":"2024-09-04","ids":{"openalex":"https://openalex.org/W4402216119","doi":"https://doi.org/10.1109/tcyb.2024.3447108","pmid":"https://pubmed.ncbi.nlm.nih.gov/39231064"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2024.3447108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2024.3447108","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101786091","display_name":"Yan Feng","orcid":"https://orcid.org/0000-0002-4601-4593"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Yan","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654679","display_name":"Xinmin Zhang","orcid":"https://orcid.org/0000-0002-4761-3969"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinmin Zhang","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101762609","display_name":"Chunjie Yang","orcid":"https://orcid.org/0000-0002-4362-2104"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunjie Yang","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101786091"],"corresponding_institution_ids":["https://openalex.org/I4391767838"],"apc_list":null,"apc_paid":null,"fwci":4.2382,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.94736437,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"54","issue":"11","first_page":"6867","last_page":"6880"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9973000288009644,"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":0.9973000288009644,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9865999817848206,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9854000210762024,"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/computer-science","display_name":"Computer science","score":0.7338992357254028},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5238626003265381},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5011098384857178},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49738481640815735},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48629030585289},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46659326553344727},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4610409438610077},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4563383162021637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4493532180786133},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42484769225120544},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12720182538032532}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7338992357254028},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5238626003265381},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5011098384857178},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49738481640815735},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48629030585289},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46659326553344727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4610409438610077},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4563383162021637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4493532180786133},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42484769225120544},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12720182538032532},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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":2,"locations":[{"id":"doi:10.1109/tcyb.2024.3447108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2024.3447108","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:39231064","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39231064","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1656774182","display_name":null,"funder_award_id":"62394341","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1982266191","display_name":null,"funder_award_id":"61933015","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":46,"referenced_works":["https://openalex.org/W1963631516","https://openalex.org/W1969852690","https://openalex.org/W1973749534","https://openalex.org/W2003706483","https://openalex.org/W2060794592","https://openalex.org/W2064675550","https://openalex.org/W2067688816","https://openalex.org/W2085866051","https://openalex.org/W2097715699","https://openalex.org/W2097836861","https://openalex.org/W2133564696","https://openalex.org/W2135591260","https://openalex.org/W2331820705","https://openalex.org/W2346923459","https://openalex.org/W2405206665","https://openalex.org/W2550143307","https://openalex.org/W2604847698","https://openalex.org/W2808955427","https://openalex.org/W2947004938","https://openalex.org/W3098637430","https://openalex.org/W3100090196","https://openalex.org/W3112721282","https://openalex.org/W3157903252","https://openalex.org/W3177318507","https://openalex.org/W3190152617","https://openalex.org/W3201921790","https://openalex.org/W3213485395","https://openalex.org/W4200312990","https://openalex.org/W4213415961","https://openalex.org/W4229025315","https://openalex.org/W4297733535","https://openalex.org/W4312313802","https://openalex.org/W4312672146","https://openalex.org/W4318149011","https://openalex.org/W4372361526","https://openalex.org/W4382203079","https://openalex.org/W4385516948","https://openalex.org/W4388505146","https://openalex.org/W4388892010","https://openalex.org/W4390398958","https://openalex.org/W6628877408","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6762539595","https://openalex.org/W6797297377","https://openalex.org/W6810637551"],"related_works":["https://openalex.org/W2067317451","https://openalex.org/W2154771632","https://openalex.org/W4211085505","https://openalex.org/W3122478268","https://openalex.org/W2084758217","https://openalex.org/W408804804","https://openalex.org/W4231021675","https://openalex.org/W3086365953","https://openalex.org/W4226072953","https://openalex.org/W2392606101"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"soft":[2,21],"sensor":[3,22],"modeling":[4],"methods":[5],"have":[6],"been":[7],"extensively":[8],"studied":[9],"and":[10,34,83,141,167,206,212],"applied":[11],"to":[12,46,58,104,115,137,155,194],"industrial":[13,43,178],"processes":[14],"in":[15,31,39,64,94,129,209],"the":[16,27,36,47,117,125,130,164,182,188,195,199,215],"last":[17],"decade.":[18],"However,":[19],"existing":[20,196],"models":[23],"mainly":[24],"focus":[25],"on":[26,163,175,214],"current":[28,48],"step":[29,49],"prediction":[30,38,68,185,217],"real":[32],"time":[33],"ignore":[35],"multistep":[37,67,106,184],"advance.":[40,65],"In":[41,191],"actual":[42],"applications,":[44],"compared":[45,193],"prediction,":[50],"it":[51],"is":[52,113,135],"more":[53],"useful":[54],"for":[55,144],"on-site":[56],"workers":[57],"predict":[59],"some":[60],"key":[61,74],"performance":[62],"indicators":[63],"Nowadays,":[66],"task":[69,218],"still":[70],"suffers":[71],"from":[72,124],"two":[73,92,158,176],"issues:":[75],"1)":[76],"complex":[77],"coupling":[78,119],"relationships":[79,120],"between":[80,121],"process":[81,122],"variables":[82,123],"2)":[84],"long-term":[85,145],"dependency":[86],"learning.":[87],"To":[88],"ravel":[89],"out":[90],"these":[91,157],"problems,":[93],"this":[95],"article,":[96],"we":[97,149],"propose":[98,150],"a":[99,109,151],"graph-based":[100],"time-frequency":[101,131],"two-stream":[102,132],"network":[103],"achieve":[105],"prediction.":[107],"Specifically,":[108],"multigraph":[110],"attention":[111],"layer":[112],"proposed":[114,183,200],"model":[116,186],"dynamical":[118],"graph":[126],"perspective.":[127],"Then,":[128],"network,":[133],"multi-GAT":[134],"used":[136],"extract":[138],"time-domain":[139],"features":[140,143,161],"frequency-domain":[142],"dependency,":[146],"respectively.":[147],"Furthermore,":[148],"feature":[152],"fusion":[153],"module":[154],"combine":[156],"kinds":[159],"of":[160],"based":[162],"minimum":[165],"redundancy":[166],"maximum":[168],"correlation":[169],"learning":[170],"paradigm.":[171],"Finally,":[172],"extensive":[173],"experiments":[174],"real-world":[177],"datasets":[179],"show":[180],"that":[181],"outperforms":[187],"state-of-the-art":[189],"models.":[190],"particular,":[192],"SOTA":[197],"method,":[198],"method":[201],"has":[202],"achieved":[203],"12.40%,":[204],"22.49%,":[205],"21.98%":[207],"improvement":[208],"RMSE,":[210],"MAE,":[211],"MAPE":[213],"three-step":[216],"using":[219],"waste":[220],"incineration":[221],"dataset.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
