{"id":"https://openalex.org/W4213415961","doi":"https://doi.org/10.1109/tie.2022.3151960","title":"DSTED: A Denoising Spatial\u2013Temporal Encoder\u2013Decoder Framework for Multistep Prediction of Burn-Through Point in Sintering Process","display_name":"DSTED: A Denoising Spatial\u2013Temporal Encoder\u2013Decoder Framework for Multistep Prediction of Burn-Through Point in Sintering Process","publication_year":2022,"publication_date":"2022-02-23","ids":{"openalex":"https://openalex.org/W4213415961","doi":"https://doi.org/10.1109/tie.2022.3151960"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2022.3151960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2022.3151960","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","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/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/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"]}]},{"author_position":"last","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"]}]}],"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":7.7643,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.98179647,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"69","issue":"10","first_page":"10735","last_page":"10744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9958999752998352,"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":0.9958999752998352,"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/T11837","display_name":"Iron and Steelmaking Processes","score":0.9944999814033508,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9890000224113464,"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/noise-reduction","display_name":"Noise reduction","score":0.5791035890579224},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5427823662757874},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.49959683418273926},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.45728132128715515},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42590880393981934},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4247792065143585},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40457338094711304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.321011483669281},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09317532181739807}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5791035890579224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5427823662757874},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.49959683418273926},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.45728132128715515},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42590880393981934},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4247792065143585},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40457338094711304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.321011483669281},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09317532181739807},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2022.3151960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2022.3151960","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[{"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":34,"referenced_works":["https://openalex.org/W1971092924","https://openalex.org/W1984162972","https://openalex.org/W2053230900","https://openalex.org/W2059662713","https://openalex.org/W2064675550","https://openalex.org/W2100495367","https://openalex.org/W2105482032","https://openalex.org/W2157331557","https://openalex.org/W2343490554","https://openalex.org/W2539756354","https://openalex.org/W2786583476","https://openalex.org/W2788283425","https://openalex.org/W2810399580","https://openalex.org/W2880213081","https://openalex.org/W2919115771","https://openalex.org/W2920714358","https://openalex.org/W2952729433","https://openalex.org/W2966095430","https://openalex.org/W2994775822","https://openalex.org/W3001083904","https://openalex.org/W3003166104","https://openalex.org/W3004513120","https://openalex.org/W3004957259","https://openalex.org/W3007389203","https://openalex.org/W3023882825","https://openalex.org/W3035753075","https://openalex.org/W3098637430","https://openalex.org/W3123899295","https://openalex.org/W3136823424","https://openalex.org/W3158900999","https://openalex.org/W4287639905","https://openalex.org/W6628877408","https://openalex.org/W6685158001","https://openalex.org/W6840898675"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W2013493105","https://openalex.org/W3155418658","https://openalex.org/W3034789145","https://openalex.org/W4367628250"],"abstract_inverted_index":{"Sinter":[0],"ore":[1,32],"is":[2,34,74,85,97,119,155,196],"the":[3,8,20,27,57,60,82,90,94,107,123,133,138,145,158,163,169,173,178,182,191],"main":[4],"raw":[5],"material":[6],"of":[7,26,59,110,125,148,185],"blast":[9],"furnace,":[10],"and":[11,23,47,93,165,172,198],"burn-through":[12],"point":[13],"(BTP)":[14],"has":[15],"a":[16,35,66,100,113,129,186],"direct":[17],"influence":[18],"on":[19,181],"yield,":[21],"quality,":[22],"energy":[24],"consumption":[25],"ironmaking":[28],"process.":[29,62],"Since":[30],"iron":[31],"sintering":[33,61,187],"very":[36],"complex":[37],"industrial":[38,111],"process":[39,188],"with":[40,140],"strong":[41],"nonlinearity,":[42],"multivariable":[43],"coupling,":[44],"random":[45,108],"noises,":[46],"time":[48],"variation,":[49],"traditional":[50],"soft-sensor":[51],"models":[52],"are":[53],"hard":[54],"to":[55,76,88,121,160],"learn":[56],"knowledge":[58],"In":[63,135],"this":[64,136],"article,":[65],"multistep":[67,193],"prediction":[68,96,194],"model,":[69],"called":[70],"denoising":[71,114,130],"spatial\u2013temporal":[72,153],"encoder\u2013decoder,":[73],"developed":[75],"predict":[77],"BTP":[78,95],"in":[79],"advance.":[80],"First,":[81],"mechanism":[83],"analysis":[84],"carried":[86],"out":[87],"determine":[89],"relevant-BTP":[91],"variables,":[92],"defined":[98],"as":[99],"sequence-to-sequence":[101],"modeling":[102],"problem.":[103],"Second,":[104],"motivated":[105],"by":[106,127],"noises":[109],"data,":[112],"gated":[115],"recurrent":[116],"unit":[117],"(DGRU)":[118],"designed":[120],"alleviate":[122],"impact":[124],"noise":[126],"adding":[128],"gate":[131],"into":[132,157],"GRU.":[134],"case,":[137],"encoder":[139],"DGRU":[141],"can":[142],"better":[143],"extract":[144],"latent":[146,170],"variables":[147,171],"original":[149],"sequence":[150],"data.":[151],"Then,":[152],"attention":[154],"embedded":[156],"decoder":[159],"simultaneously":[161],"capture":[162],"time-wise":[164],"variable-wise":[166],"correlations":[167],"between":[168],"target":[174],"variable":[175],"BTP.":[176],"Finally,":[177],"experimental":[179],"results":[180],"real-world":[183],"dataset":[184],"demonstrated":[189],"that":[190],"integrated":[192],"model":[195],"effective":[197],"feasible.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":6}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
