{"id":"https://openalex.org/W4399374664","doi":"https://doi.org/10.1109/icit58233.2024.10540746","title":"A Neural Additive Domain Adaptation Network with Interpretability for Fault Detection in Various Operating Conditions","display_name":"A Neural Additive Domain Adaptation Network with Interpretability for Fault Detection in Various Operating Conditions","publication_year":2024,"publication_date":"2024-03-25","ids":{"openalex":"https://openalex.org/W4399374664","doi":"https://doi.org/10.1109/icit58233.2024.10540746"},"language":"en","primary_location":{"id":"doi:10.1109/icit58233.2024.10540746","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icit58233.2024.10540746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-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/A5100344084","display_name":"Cheng Su","orcid":"https://orcid.org/0000-0002-3822-3221"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng Su","raw_affiliation_strings":["East China University of Science and Technology,State Key Laboratory of Industrial Control Technology,Shanghai,China","State Key Laboratory of Industrial Control Technology, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology,State Key Laboratory of Industrial Control Technology,Shanghai,China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040197045","display_name":"Weimin Zhong","orcid":"https://orcid.org/0000-0002-4285-4739"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weimin Zhong","raw_affiliation_strings":["East China University of Science and Technology,Key Laboratory of Smart Manufacturing in Energy Chemical Process,Shanghai,China","Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology,Key Laboratory of Smart Manufacturing in Energy Chemical Process,Shanghai,China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014322434","display_name":"Dan Yang","orcid":"https://orcid.org/0000-0002-4962-7360"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Yang","raw_affiliation_strings":["East China University of Science and Technology,Key Laboratory of Smart Manufacturing in Energy Chemical Process,Shanghai,China","Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology,Key Laboratory of Smart Manufacturing in Energy Chemical Process,Shanghai,China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"Key Laboratory of Smart Manufacturing in Energy Chemical Process, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318915","display_name":"Linlin Li","orcid":"https://orcid.org/0000-0002-6387-6013"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]},{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Li","raw_affiliation_strings":["University of Science and Technology Beijing,Department of Control Science and Engineering,Beijing,China","Department of Control Science and Engineering, University of Science and Technology Beijing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing,Department of Control Science and Engineering,Beijing,China","institution_ids":["https://openalex.org/I92403157","https://openalex.org/I78675632"]},{"raw_affiliation_string":"Department of Control Science and Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067183406","display_name":"Xin Peng","orcid":"https://orcid.org/0000-0001-9277-8415"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Peng","raw_affiliation_strings":["East China University of Science and Technology,State Key Laboratory of Industrial Control Technology,Shanghai,China","State Key Laboratory of Industrial Control Technology, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China University of Science and Technology,State Key Laboratory of Industrial Control Technology,Shanghai,China","institution_ids":["https://openalex.org/I143593769"]},{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100344084"],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06208524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"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/T10892","display_name":"Drilling and Well Engineering","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T13050","display_name":"Oil and Gas Production Techniques","score":0.9678999781608582,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/interpretability","display_name":"Interpretability","score":0.9139361381530762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7501951456069946},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6819549798965454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6777725219726562},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6114413142204285},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5935933589935303},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5557173490524292},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5121774673461914},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4961477220058441},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49216145277023315},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4917300045490265},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4905657172203064},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45719659328460693},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35374295711517334},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11362192034721375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1000540554523468},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.06843605637550354}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9139361381530762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7501951456069946},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6819549798965454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6777725219726562},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6114413142204285},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5935933589935303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5557173490524292},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5121774673461914},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4961477220058441},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49216145277023315},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4917300045490265},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4905657172203064},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45719659328460693},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35374295711517334},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11362192034721375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1000540554523468},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.06843605637550354},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icit58233.2024.10540746","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icit58233.2024.10540746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"awards":[{"id":"https://openalex.org/G1105108388","display_name":null,"funder_award_id":"62173145,62322303,62273214","funder_id":"https://openalex.org/F4320320885","funder_display_name":"European Research Consortium for Informatics and Mathematics"}],"funders":[{"id":"https://openalex.org/F4320320885","display_name":"European Research Consortium for Informatics and Mathematics","ror":"https://ror.org/055zrhj18"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W1731081199","https://openalex.org/W2110097068","https://openalex.org/W2164943005","https://openalex.org/W2399431026","https://openalex.org/W2567092460","https://openalex.org/W2885288681","https://openalex.org/W2889945482","https://openalex.org/W2965843558","https://openalex.org/W3039883906","https://openalex.org/W3041133507","https://openalex.org/W3194668998","https://openalex.org/W4245295309","https://openalex.org/W4287811112","https://openalex.org/W4320013936","https://openalex.org/W4387196950","https://openalex.org/W4390494339","https://openalex.org/W6637618735","https://openalex.org/W6676663998","https://openalex.org/W6683633756","https://openalex.org/W6776595772"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W4394775207"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1,39,94],"(DA)":[2],"can":[3],"be":[4],"used":[5],"for":[6],"fault":[7],"detection":[8],"under":[9],"multiple":[10],"operating":[11],"conditions.":[12],"However,":[13],"the":[14,26,56,61,77,80,101,137,140,150,159,166,188,191],"lack":[15],"of":[16,18,59,63,79,86,103,152,190],"interpretability":[17],"DA":[19,117,163],"models":[20],"prevents":[21],"potential":[22],"users":[23],"from":[24,55,182],"understanding":[25],"decisions":[27],"made":[28],"by":[29],"models.":[30],"To":[31],"give":[32],"a":[33,35,49],"solution,":[34],"neural":[36,50],"additive":[37,51],"domain":[38,93,98,126,176],"network":[40],"(NADAN)":[41],"is":[42,45,69,110],"proposed,":[43],"which":[44,146,171],"constructed":[46],"based":[47,128],"on":[48,129,154,179],"model":[52,186],"(NAM).":[53],"Benefiting":[54],"structural":[57],"advantages":[58],"NAM,":[60],"predictions":[62],"NADAN":[64,68,84,153,157],"are":[65,143],"interpretable.":[66],"Specifically,":[67],"able":[70],"to":[71,112,136,148,164],"explain":[72],"how":[73],"each":[74],"feature":[75,89,160],"affects":[76],"decision":[78],"model.":[81],"In":[82],"addition,":[83],"consists":[85],"two":[87],"modules,":[88],"learning":[90],"(FL)":[91],"and":[92,96,105,124],"(DA),":[95],"achieves":[97,125,174],"alignment":[99,127],"through":[100],"combination":[102],"FL":[104,108],"DA.":[106,155],"The":[107,116],"module":[109,118],"pretrained":[111],"learn":[113],"high-order":[114],"features.":[115],"takes":[119],"learned":[120,141],"features":[121,142],"as":[122],"input":[123],"multi-kernel":[130],"maximum":[131],"mean":[132],"discrepancy":[133],"(MK-MMD).":[134],"Compared":[135],"raw":[138],"data,":[139],"more":[144],"task-relevant,":[145],"helps":[147],"improve":[149],"performance":[151],"Furthermore,":[156],"augments":[158],"dimensions":[161],"during":[162],"measure":[165],"inter-domain":[167],"differences":[168],"in":[169,172],"detail,":[170],"turn":[173],"better":[175],"alignment.":[177],"Experiments":[178],"datasets":[180],"generated":[181],"wastewater":[183],"treatment":[184],"simulation":[185],"demonstrate":[187],"effectiveness":[189],"proposed":[192],"NADAN.":[193]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}