{"id":"https://openalex.org/W4285287611","doi":"https://doi.org/10.1109/tii.2022.3181692","title":"A Self-Interpretable Soft Sensor Based on Deep Learning and Multiple Attention Mechanism: From Data Selection to Sensor Modeling","display_name":"A Self-Interpretable Soft Sensor Based on Deep Learning and Multiple Attention Mechanism: From Data Selection to Sensor Modeling","publication_year":2022,"publication_date":"2022-06-10","ids":{"openalex":"https://openalex.org/W4285287611","doi":"https://doi.org/10.1109/tii.2022.3181692"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3181692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3181692","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Informatics","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/A5068577043","display_name":"Runyuan Guo","orcid":"https://orcid.org/0000-0002-7426-3212"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Runyuan Guo","raw_affiliation_strings":["Xi&#x0027;an University of Technology, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an University of Technology, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448105","display_name":"Han Liu","orcid":"https://orcid.org/0000-0002-6618-1380"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Liu","raw_affiliation_strings":["Xi&#x0027;an University of Technology, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an University of Technology, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000799818","display_name":"Guo Xie","orcid":"https://orcid.org/0000-0002-9948-453X"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo Xie","raw_affiliation_strings":["Xi&#x0027;an University of Technology, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an University of Technology, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416422","display_name":"Youmin Zhang","orcid":"https://orcid.org/0000-0002-9731-5943"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Youmin Zhang","raw_affiliation_strings":["Department of Mechanical, Industrial, and Aerospace Engineering and the Concordia Institute of Aerospace Design and Innovation, Concordia University, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical, Industrial, and Aerospace Engineering and the Concordia Institute of Aerospace Design and Innovation, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101522028","display_name":"Ding Liu","orcid":"https://orcid.org/0000-0002-2070-9661"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ding Liu","raw_affiliation_strings":["Xi&#x0027;an University of Technology, Xi&#x0027;an, China"],"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an University of Technology, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068577043"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":10.33,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.99007563,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"19","issue":"5","first_page":"6859","last_page":"6871"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9843000173568726,"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/T10320","display_name":"Neural Networks and Applications","score":0.980400025844574,"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/soft-sensor","display_name":"Soft sensor","score":0.7444907426834106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6543216109275818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6429637670516968},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5844307541847229},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5800949335098267},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5175087451934814},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.47983571887016296},{"id":"https://openalex.org/keywords/selective-attention","display_name":"Selective attention","score":0.42219704389572144},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3806067407131195},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37957534193992615},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13710451126098633},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.13553771376609802},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.12776339054107666},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.10599607229232788}],"concepts":[{"id":"https://openalex.org/C115575686","wikidata":"https://www.wikidata.org/wiki/Q18822403","display_name":"Soft sensor","level":3,"score":0.7444907426834106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6543216109275818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6429637670516968},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5844307541847229},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5800949335098267},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5175087451934814},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.47983571887016296},{"id":"https://openalex.org/C2989146674","wikidata":"https://www.wikidata.org/wiki/Q4818236","display_name":"Selective attention","level":3,"score":0.42219704389572144},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3806067407131195},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37957534193992615},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13710451126098633},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.13553771376609802},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.12776339054107666},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.10599607229232788},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":1,"locations":[{"id":"doi:10.1109/tii.2022.3181692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3181692","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1702334537","display_name":null,"funder_award_id":"61973248","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3601955901","display_name":null,"funder_award_id":"61833013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7835115686","display_name":null,"funder_award_id":"92270117","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":48,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1499689786","https://openalex.org/W2000651380","https://openalex.org/W2085862958","https://openalex.org/W2253400648","https://openalex.org/W2304598329","https://openalex.org/W2593634001","https://openalex.org/W2768191664","https://openalex.org/W2788805965","https://openalex.org/W2924370663","https://openalex.org/W2945976633","https://openalex.org/W2951025380","https://openalex.org/W2970726176","https://openalex.org/W2981731882","https://openalex.org/W2983199727","https://openalex.org/W2989872913","https://openalex.org/W3015790446","https://openalex.org/W3016077482","https://openalex.org/W3031706961","https://openalex.org/W3034444624","https://openalex.org/W3044950360","https://openalex.org/W3093656051","https://openalex.org/W3102100346","https://openalex.org/W3110427994","https://openalex.org/W3123899295","https://openalex.org/W3132191748","https://openalex.org/W3134751001","https://openalex.org/W3153401594","https://openalex.org/W3164731060","https://openalex.org/W3171438403","https://openalex.org/W3175232532","https://openalex.org/W3180521668","https://openalex.org/W3196610154","https://openalex.org/W3198612789","https://openalex.org/W3203814031","https://openalex.org/W3207007544","https://openalex.org/W3208373590","https://openalex.org/W3208456562","https://openalex.org/W4205830141","https://openalex.org/W4210499386","https://openalex.org/W4211093736","https://openalex.org/W4214676882","https://openalex.org/W4297749952","https://openalex.org/W4385245566","https://openalex.org/W6600284362","https://openalex.org/W6691187937","https://openalex.org/W6739901393","https://openalex.org/W6764072591"],"related_works":["https://openalex.org/W2374290272","https://openalex.org/W2097933059","https://openalex.org/W4386158748","https://openalex.org/W1970956258","https://openalex.org/W2408812858","https://openalex.org/W3127658115","https://openalex.org/W3152705324","https://openalex.org/W2382997850","https://openalex.org/W2737942854","https://openalex.org/W2070934727"],"abstract_inverted_index":{"For":[0],"deep":[1,30],"learning-based":[2],"soft":[3,33,48,205],"sensors,":[4],"the":[5,10,17,29,55,72,76,91,107,112,127,137,140,144,152,157,168,172,177,185],"lack":[6],"of":[7,16,39,57,131,159,171,179],"interpretability":[8],"and":[9,60,63,89,95,151,176,189],"consequent":[11],"unreliability":[12],"has":[13],"become":[14],"one":[15],"most":[18],"important":[19],"problems.":[20],"In":[21],"this":[22],"article,":[23],"a":[24,46,86,118],"neural":[25],"network":[26],"scheme":[27],"called":[28],"multiple":[31],"attention":[32,40,78,93,98,109,142],"sensor":[34,61,160],"(DMASS),":[35],"which":[36],"consists":[37],"solely":[38],"mechanisms,":[41],"is":[42,105,123,182],"proposed":[43,124],"to":[44,53,65,125,166],"develop":[45],"self-interpretable":[47,113],"sensor.":[49],"DMASS":[50,163],"was":[51,164,198],"established":[52],"ensure":[54],"self-interpretability":[56,158,181],"data":[58,114],"selection":[59,115],"modeling":[62],"try":[64],"integrate":[66],"these":[67],"originally":[68],"independent":[69],"phases":[70],"into":[71],"single":[73],"scheme.":[74],"First,":[75],"existing":[77],"mechanisms\u2019":[79],"core":[80],"implementation":[81],"steps":[82],"are":[83,100],"summarized":[84],"as":[85],"unified":[87],"form,":[88],"then":[90],"variable":[92],"mechanism":[94,99,187],"time":[96],"lag":[97],"proposed.":[101],"When":[102],"DMASS's":[103,149,180,194],"training":[104],"completed,":[106],"obtained":[108],"weights":[110],"provide":[111],"results.":[116],"Then,":[117],"self-attention":[119],"activation":[120],"structure":[121],"(SAAS)":[122],"extract":[126],"nonlinear":[128],"spatio-temporal":[129],"features":[130],"data.":[132],"The":[133],"mathematical":[134],"expression":[135],"for":[136,148],"extracted":[138],"feature,":[139],"SAAS's":[141],"matrix,":[143],"information":[145,190],"path":[146],"diagram":[147],"training,":[150],"uncertainty-aware":[153],"interval":[154],"prediction":[155],"show":[156],"modeling.":[161],"Finally,":[162],"applied":[165],"predict":[167],"thermal":[169],"deformation":[170],"air":[173],"preheater":[174],"rotor,":[175],"validity":[178],"verified":[183],"by":[184],"known":[186],"analysis":[188],"bottleneck":[191],"theory.":[192],"Meanwhile,":[193],"great":[195],"sensing":[196],"performance":[197],"confirmed":[199],"through":[200],"comparison":[201],"with":[202],"other":[203],"novel":[204],"sensors.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":31},{"year":2024,"cited_by_count":42},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
