{"id":"https://openalex.org/W3080648230","doi":"https://doi.org/10.1109/tnnls.2020.3015929","title":"Dual Attention-Based Encoder\u2013Decoder: A Customized Sequence-to-Sequence Learning for Soft Sensor Development","display_name":"Dual Attention-Based Encoder\u2013Decoder: A Customized Sequence-to-Sequence Learning for Soft Sensor Development","publication_year":2020,"publication_date":"2020-08-24","ids":{"openalex":"https://openalex.org/W3080648230","doi":"https://doi.org/10.1109/tnnls.2020.3015929","mag":"3080648230","pmid":"https://pubmed.ncbi.nlm.nih.gov/32833653"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.3015929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3015929","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5067817517","display_name":"Liangjun Feng","orcid":"https://orcid.org/0000-0003-0278-4366"},"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":"Liangjun Feng","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Technology and Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0278-4366","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Technology and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038929132","display_name":"Chunhui Zhao","orcid":"https://orcid.org/0000-0002-0254-5763"},"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":"Chunhui Zhao","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Technology and Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0254-5763","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Technology and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100677869","display_name":"Youxian Sun","orcid":"https://orcid.org/0000-0002-1176-1142"},"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":"Youxian Sun","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Technology and Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Technology and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4391767838"],"apc_list":null,"apc_paid":null,"fwci":7.6648,"has_fulltext":false,"cited_by_count":128,"citation_normalized_percentile":{"value":0.98163672,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"32","issue":"8","first_page":"3306","last_page":"3317"},"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9965000152587891,"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":0.9864000082015991,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7786456942558289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6867148280143738},{"id":"https://openalex.org/keywords/soft-sensor","display_name":"Soft sensor","score":0.6826663017272949},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5834532380104065},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.572965681552887},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5311723351478577},{"id":"https://openalex.org/keywords/soft-decision-decoder","display_name":"Soft-decision decoder","score":0.5049291253089905},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4766160547733307},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4644491672515869},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4567417502403259},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4222145080566406},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3807510733604431},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34720003604888916},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2363826334476471}],"concepts":[{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7786456942558289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6867148280143738},{"id":"https://openalex.org/C115575686","wikidata":"https://www.wikidata.org/wiki/Q18822403","display_name":"Soft sensor","level":3,"score":0.6826663017272949},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5834532380104065},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.572965681552887},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5311723351478577},{"id":"https://openalex.org/C185588885","wikidata":"https://www.wikidata.org/wiki/Q7553811","display_name":"Soft-decision decoder","level":3,"score":0.5049291253089905},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4766160547733307},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4644491672515869},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4567417502403259},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4222145080566406},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3807510733604431},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34720003604888916},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2363826334476471},{"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.3015929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3015929","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:32833653","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32833653","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G2684633063","display_name":null,"funder_award_id":"U1709211","funder_id":"https://openalex.org/F4320334064","funder_display_name":"National Natural Science Foundation of China-Zhejiang Joint Fund for the Integration of Industrialization and Informatization"},{"id":"https://openalex.org/G4379364039","display_name":null,"funder_award_id":"ICT20077","funder_id":"https://openalex.org/F4320326952","funder_display_name":"State Key Laboratory of Industrial Control Technology"},{"id":"https://openalex.org/G623490099","display_name":null,"funder_award_id":"U1709211","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"},{"id":"https://openalex.org/F4320326952","display_name":"State Key Laboratory of Industrial Control Technology","ror":null},{"id":"https://openalex.org/F4320334064","display_name":"National Natural Science Foundation of China-Zhejiang Joint Fund for the Integration of Industrialization and Informatization","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W567350711","https://openalex.org/W1514535095","https://openalex.org/W1533861849","https://openalex.org/W1970172697","https://openalex.org/W2008699371","https://openalex.org/W2047138503","https://openalex.org/W2065636071","https://openalex.org/W2079692514","https://openalex.org/W2085862958","https://openalex.org/W2087042989","https://openalex.org/W2087670710","https://openalex.org/W2088597698","https://openalex.org/W2130942839","https://openalex.org/W2131919105","https://openalex.org/W2133564696","https://openalex.org/W2136295067","https://openalex.org/W2147062914","https://openalex.org/W2150355110","https://openalex.org/W2187089797","https://openalex.org/W2201092681","https://openalex.org/W2325610192","https://openalex.org/W2332443565","https://openalex.org/W2552112078","https://openalex.org/W2757342969","https://openalex.org/W2772343646","https://openalex.org/W2786583476","https://openalex.org/W2802961479","https://openalex.org/W2909680570","https://openalex.org/W2913982144","https://openalex.org/W2920714358","https://openalex.org/W2964308564","https://openalex.org/W2965875348","https://openalex.org/W3014660087","https://openalex.org/W6630875275","https://openalex.org/W6631943919","https://openalex.org/W6679434410"],"related_works":["https://openalex.org/W2356119241","https://openalex.org/W2182248074","https://openalex.org/W2019141945","https://openalex.org/W2154078079","https://openalex.org/W4244085088","https://openalex.org/W406587413","https://openalex.org/W2141913236","https://openalex.org/W3167298930","https://openalex.org/W2361385741","https://openalex.org/W2889372359"],"abstract_inverted_index":{"Soft":[0],"sensor":[1],"techniques":[2],"have":[3],"been":[4],"applied":[5],"to":[6,95,156,199],"predict":[7],"the":[8,14,22,31,41,73,83,91,98,103,107,111,115,126,144,154,159,190,193],"hard-to-measure":[9],"quality":[10,70,116,145,169],"variables":[11,17,36,71,85,136,162],"based":[12,175],"on":[13,79,143,176],"easy-to-measure":[15],"process":[16,42,75,84,108,135,161,181],"in":[18,54,72],"industry":[19],"scenarios.":[20],"Since":[21],"products":[23],"are":[24,76,86,123,173],"usually":[25],"produced":[26],"with":[27],"prearranged":[28],"processing":[29],"orders,":[30],"sequential":[32,99],"dependence":[33],"among":[34],"different":[35,69,134,141],"can":[37],"be":[38],"important":[39],"for":[40,63,166,202],"modeling.":[43],"To":[44],"use":[45],"this":[46,55],"property,":[47],"a":[48,59,147,167,177,183],"dual":[49,148],"attention-based":[50],"encoder-decoder":[51,92,155,195],"is":[52,93,151],"developed":[53],"article,":[56],"which":[57,188],"presents":[58],"customized":[60],"sequence-to-sequence":[61],"learning":[62,201],"soft":[64,203],"sensor.":[65,204],"We":[66],"reveal":[67],"that":[68,105,113],"same":[74],"sequentially":[77],"dependent":[78],"each":[80],"other":[81],"and":[82,110,120,137,163,182,196],"natural":[87],"time":[88,138,164],"sequences.":[89],"Hence,":[90],"constructed":[94],"explicitly":[96],"exploit":[97],"information":[100],"of":[101,192],"both":[102],"input,":[104],"is,":[106,114],"variables,":[109,146],"output,":[112],"variables.":[117],"The":[118],"encoder":[119],"decoder":[121],"modules":[122],"specified":[124],"as":[125],"long":[127],"short-term":[128],"memory":[129],"network.":[130],"In":[131],"addition,":[132],"since":[133],"points":[139,165],"impose":[140],"effects":[142],"attention":[149],"mechanism":[150],"embedded":[152],"into":[153],"concurrently":[157],"search":[158],"quality-related":[160],"fine-grained":[168],"prediction.":[170],"Comprehensive":[171],"experiments":[172],"performed":[174],"real":[178],"cigarette":[179],"production":[180],"benchmark":[184],"multiphase":[185],"flow":[186],"process,":[187],"illustrate":[189],"effectiveness":[191],"proposed":[194],"its":[197],"sequence":[198,200]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}