{"id":"https://openalex.org/W3031071509","doi":"https://doi.org/10.1109/access.2020.2998515","title":"Smart Online Fuel Sulfur Prediction in Diesel Hydrodesulfurization Process","display_name":"Smart Online Fuel Sulfur Prediction in Diesel Hydrodesulfurization Process","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3031071509","doi":"https://doi.org/10.1109/access.2020.2998515","mag":"3031071509"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2998515","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2998515","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09103496.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09103496.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jingkai Ma","orcid":"https://orcid.org/0000-0002-8891-5146"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingkai Ma","raw_affiliation_strings":["College of Artificial Intelligence, Beijing Technology and Business University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8891-5146","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101931613","display_name":"Nan Li","orcid":"https://orcid.org/0000-0002-8144-3174"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Li","raw_affiliation_strings":["College of Artificial Intelligence, Beijing Technology and Business University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8144-3174","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085405386","display_name":"Yating Huang","orcid":"https://orcid.org/0000-0002-7008-345X"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yating Huang","raw_affiliation_strings":["College of Artificial Intelligence, Beijing Technology and Business University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7008-345X","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101884536","display_name":"Ma Yue","orcid":"https://orcid.org/0000-0003-3600-7573"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Ma","raw_affiliation_strings":["College of Artificial Intelligence, Beijing Technology and Business University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3600-7573","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I179026463"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.408,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69001768,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"100974","last_page":"100988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9710999727249146,"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"}},"topics":[{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9710999727249146,"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/T14474","display_name":"Industrial Technology and Control Systems","score":0.9480000138282776,"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/T14470","display_name":"Advanced Data Processing Techniques","score":0.9448000192642212,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hydrodesulfurization","display_name":"Hydrodesulfurization","score":0.884727954864502},{"id":"https://openalex.org/keywords/diesel-fuel","display_name":"Diesel fuel","score":0.6223824620246887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5075856447219849},{"id":"https://openalex.org/keywords/ultra-low-sulfur-diesel","display_name":"Ultra-low-sulfur diesel","score":0.48555251955986023},{"id":"https://openalex.org/keywords/sulfur","display_name":"Sulfur","score":0.4162462055683136},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4160538613796234},{"id":"https://openalex.org/keywords/process-engineering","display_name":"Process engineering","score":0.3500474691390991},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.3110664486885071},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.15621116757392883},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15552836656570435},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09325680136680603},{"id":"https://openalex.org/keywords/metallurgy","display_name":"Metallurgy","score":0.07548049092292786}],"concepts":[{"id":"https://openalex.org/C197129369","wikidata":"https://www.wikidata.org/wiki/Q899016","display_name":"Hydrodesulfurization","level":3,"score":0.884727954864502},{"id":"https://openalex.org/C138171918","wikidata":"https://www.wikidata.org/wiki/Q38423","display_name":"Diesel fuel","level":2,"score":0.6223824620246887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5075856447219849},{"id":"https://openalex.org/C168255717","wikidata":"https://www.wikidata.org/wiki/Q3072759","display_name":"Ultra-low-sulfur diesel","level":3,"score":0.48555251955986023},{"id":"https://openalex.org/C518881349","wikidata":"https://www.wikidata.org/wiki/Q682","display_name":"Sulfur","level":2,"score":0.4162462055683136},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4160538613796234},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.3500474691390991},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3110664486885071},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.15621116757392883},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15552836656570435},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09325680136680603},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.07548049092292786}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2998515","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2998515","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09103496.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:22ec473bb63744d38f9b16abdcd8894b","is_oa":true,"landing_page_url":"https://doaj.org/article/22ec473bb63744d38f9b16abdcd8894b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 100974-100988 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2998515","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2998515","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09103496.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G3524093938","display_name":null,"funder_award_id":"51405005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5799217601","display_name":null,"funder_award_id":"61877002","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3031071509.pdf","grobid_xml":"https://content.openalex.org/works/W3031071509.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1784844286","https://openalex.org/W1924770834","https://openalex.org/W1969158915","https://openalex.org/W1976283909","https://openalex.org/W1990017667","https://openalex.org/W1999661205","https://openalex.org/W2003516238","https://openalex.org/W2004353783","https://openalex.org/W2014507035","https://openalex.org/W2014894054","https://openalex.org/W2016960263","https://openalex.org/W2033266347","https://openalex.org/W2036630575","https://openalex.org/W2081263734","https://openalex.org/W2119821739","https://openalex.org/W2140822276","https://openalex.org/W2151205149","https://openalex.org/W2157142524","https://openalex.org/W2170308301","https://openalex.org/W2516938563","https://openalex.org/W2580428024","https://openalex.org/W2580840020","https://openalex.org/W2734777338","https://openalex.org/W2735895797","https://openalex.org/W2750674396","https://openalex.org/W2751284018","https://openalex.org/W2874179177","https://openalex.org/W2894821558","https://openalex.org/W2903746889","https://openalex.org/W2921107091","https://openalex.org/W3007926275","https://openalex.org/W4251810542","https://openalex.org/W6640212811","https://openalex.org/W6733008505"],"related_works":["https://openalex.org/W2012900450","https://openalex.org/W2356394407","https://openalex.org/W2011437796","https://openalex.org/W4238720136","https://openalex.org/W2277542395","https://openalex.org/W3215080173","https://openalex.org/W605368730","https://openalex.org/W4388572532","https://openalex.org/W2385524128","https://openalex.org/W2383571970"],"abstract_inverted_index":{"In":[0],"the":[1,8,28,35,39,43,61,82,89,97,112,129,136,162,168,181,195,200,204],"process":[2,11,44,62,163],"industry,":[3],"online":[4,142],"operators":[5],"usually":[6],"adjust":[7],"entire":[9],"production":[10],"in":[12,17,60,77,161,208],"time":[13,73],"according":[14],"to":[15,25,34,51,118,131,151],"changes":[16],"certain":[18],"key":[19,31,58],"indicators.":[20],"However,":[21],"it":[22],"is":[23,104,116,157,171],"difficult":[24],"directly":[26,127],"obtain":[27],"value":[29],"of":[30,42,57,70,140,167,210],"indicators":[32,59],"due":[33],"complex":[36],"structure":[37],"and":[38,111,145,189,213],"numerous":[40],"processes":[41,79],"industry.":[45,63,164],"This":[46],"paper":[47],"proposes":[48],"a":[49,101,138,158],"method":[50,65,170,201],"achieve":[52,203],"high":[53],"precision":[54],"on-line":[55],"prediction":[56,90,98,120,206],"The":[64,165],"first":[66],"performs":[67],"data":[68,75,178],"preprocessing":[69],"multi-source":[71],"heterogeneous":[72],"series":[74],"involved":[76],"industrial":[78],"based":[80,106,122],"on":[81,107,123],"professional":[83],"knowledge,":[84],"which":[85,126],"not":[86],"only":[87],"keeps":[88],"error":[91,113,130],"within":[92],"10%,":[93],"but":[94],"also":[95],"reduces":[96],"time.":[99],"Then":[100],"model":[102],"framework":[103],"constructed":[105],"LSTM":[108],"neural":[109],"network":[110],"correction":[114],"algorithm":[115],"proposed":[117,169],"improve":[119],"accuracy":[121,212],"real-time":[124],"error,":[125],"causes":[128],"drop":[132],"by":[133,174,192],"3%-5%.":[134],"At":[135],"end,":[137],"set":[139],"multi-mode":[141],"training":[143],"strategies":[144],"related":[146],"trigger":[147],"conditions":[148],"are":[149],"designed":[150],"perform":[152],"predicting":[153],"online.":[154],"Diesel":[155],"hydrodesulfurization":[156],"typical":[159],"case":[160],"effectiveness":[166],"empirically":[172],"studied":[173],"applying":[175],"its":[176],"actual":[177],"sets.":[179],"Through":[180],"comparison":[182],"with":[183],"other":[184],"traditional":[185],"well-known":[186],"forecasting":[187],"models,":[188],"models":[190],"optimized":[191],"adjusting":[193],"parameters,":[194],"experimental":[196],"results":[197],"demonstrate":[198],"that":[199],"can":[202],"great":[205],"performance":[207],"terms":[209],"both":[211],"stability.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}