{"id":"https://openalex.org/W4313427519","doi":"https://doi.org/10.3390/e25010083","title":"Multi-Representation Domain Adaptation Network with Duplex Adversarial Learning for Hot-Rolling Mill Fault Diagnosis","display_name":"Multi-Representation Domain Adaptation Network with Duplex Adversarial Learning for Hot-Rolling Mill Fault Diagnosis","publication_year":2022,"publication_date":"2022-12-31","ids":{"openalex":"https://openalex.org/W4313427519","doi":"https://doi.org/10.3390/e25010083","pmid":"https://pubmed.ncbi.nlm.nih.gov/36673223"},"language":"en","primary_location":{"id":"doi:10.3390/e25010083","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25010083","pdf_url":"https://www.mdpi.com/1099-4300/25/1/83/pdf?version=1673430438","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/25/1/83/pdf?version=1673430438","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023122235","display_name":"Rongrong Peng","orcid":"https://orcid.org/0000-0001-7144-896X"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]},{"id":"https://openalex.org/I4210120015","display_name":"Nanchang Institute of Science & Technology","ror":"https://ror.org/02q5y6156","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210120015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongrong Peng","raw_affiliation_strings":["National Engineering Research Center for Equipment and Technology of Cold Rolled Strip, Yanshan University, Qinhuangdao 066004, China","Nonlinear Dynamics and Application Research Center, Nanchang Institute of Science and Technology, Nanchang 330108, China"],"raw_orcid":"https://orcid.org/0000-0001-7144-896X","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Equipment and Technology of Cold Rolled Strip, Yanshan University, Qinhuangdao 066004, China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"Nonlinear Dynamics and Application Research Center, Nanchang Institute of Science and Technology, Nanchang 330108, China","institution_ids":["https://openalex.org/I4210120015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102773325","display_name":"Xingzhong Zhang","orcid":"https://orcid.org/0000-0001-5657-3252"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingzhong Zhang","raw_affiliation_strings":["National Engineering Research Center for Equipment and Technology of Cold Rolled Strip, Yanshan University, Qinhuangdao 066004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Equipment and Technology of Cold Rolled Strip, Yanshan University, Qinhuangdao 066004, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087489952","display_name":"Peiming Shi","orcid":"https://orcid.org/0000-0001-6061-7748"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiming Shi","raw_affiliation_strings":["College of Electrical Engineering, Yanshan University, Qinhuangdao 006004, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Yanshan University, Qinhuangdao 006004, China","institution_ids":["https://openalex.org/I39333907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102773325"],"corresponding_institution_ids":["https://openalex.org/I39333907"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.4852,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63607777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"25","issue":"1","first_page":"83","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9883000254631042,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9883000254631042,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9674000144004822,"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/T10736","display_name":"Hydrogen embrittlement and corrosion behaviors in metals","score":0.9574999809265137,"subfield":{"id":"https://openalex.org/subfields/2506","display_name":"Metals and Alloys"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5722825527191162},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5679101943969727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5459276437759399},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5287801027297974},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.465536504983902},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.46131324768066406},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4432196021080017},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.43971845507621765},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4071483314037323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.345935583114624}],"concepts":[{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5722825527191162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5679101943969727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5459276437759399},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5287801027297974},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.465536504983902},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.46131324768066406},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4432196021080017},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.43971845507621765},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4071483314037323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.345935583114624},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e25010083","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25010083","pdf_url":"https://www.mdpi.com/1099-4300/25/1/83/pdf?version=1673430438","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:36673223","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36673223","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:ae36acab6ae5478085e6c3f527b6b33c","is_oa":false,"landing_page_url":"https://doaj.org/article/ae36acab6ae5478085e6c3f527b6b33c","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 25, Iss 1, p 83 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/25/1/83/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e25010083","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 25; Issue 1; Pages: 83","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9858472","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9858472","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e25010083","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25010083","pdf_url":"https://www.mdpi.com/1099-4300/25/1/83/pdf?version=1673430438","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2465031646","display_name":null,"funder_award_id":"NGYJZX-2021-04","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2501579400","display_name":null,"funder_award_id":"61973262","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2790877885","display_name":null,"funder_award_id":"ZD2021106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3422325939","display_name":null,"funder_award_id":"E2019203146","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3900541866","display_name":null,"funder_award_id":"E2020203128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4336712570","display_name":null,"funder_award_id":"E2019203146","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G4388494549","display_name":null,"funder_award_id":"GJJ212504","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5058616303","display_name":null,"funder_award_id":"HX-22-35","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8325015361","display_name":null,"funder_award_id":"E2020203128","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313427519.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W2158958729","https://openalex.org/W2159291411","https://openalex.org/W2165698076","https://openalex.org/W2187089797","https://openalex.org/W2219903032","https://openalex.org/W2556013418","https://openalex.org/W2605673312","https://openalex.org/W2738563279","https://openalex.org/W2773013922","https://openalex.org/W2788768841","https://openalex.org/W2791694051","https://openalex.org/W2798149494","https://openalex.org/W2898375427","https://openalex.org/W2904218127","https://openalex.org/W2956467153","https://openalex.org/W2962687275","https://openalex.org/W2964288524","https://openalex.org/W2968584961","https://openalex.org/W2969372261","https://openalex.org/W2978848685","https://openalex.org/W2986996311","https://openalex.org/W2998506103","https://openalex.org/W3025171967","https://openalex.org/W3025981493","https://openalex.org/W3048796145","https://openalex.org/W3146740292","https://openalex.org/W3153655623","https://openalex.org/W3194492444","https://openalex.org/W3209651137","https://openalex.org/W4210428537","https://openalex.org/W4213075002","https://openalex.org/W4291238080","https://openalex.org/W4306399454","https://openalex.org/W6713955831"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W2440023763","https://openalex.org/W2962474440"],"abstract_inverted_index":{"The":[0,32,219],"multi-process":[1],"manufacturing":[2],"of":[3,10,24,28,34,41,74,133,136,177,181,200,212,232,246,256],"steel":[4],"rolling":[5,14,30,98,111,204,233,258],"products":[6],"requires":[7],"the":[8,21,25,29,39,62,75,120,128,148,164,174,178,182,188,208,213,224,229,253,257,271,275],"cooperation":[9],"complicated":[11],"and":[12,78,130,216,240,250,261,267],"variable":[13,45,237],"conditions.":[15],"Such":[16],"conditions":[17,47,239],"pose":[18],"challenges":[19],"to":[20,48,109,126,156,163,206,248],"fault":[22,42,100,209,230],"diagnosis":[23,43,54,231],"key":[26],"equipment":[27,113,235],"mill.":[31],"development":[33],"transfer":[35,58,72],"learning":[36,59,95,139],"has":[37],"alleviated":[38],"problem":[40],"under":[44,236],"working":[46,238],"a":[49,66,87,103,169,201],"certain":[50],"extent.":[51],"However,":[52],"existing":[53],"methods":[55],"based":[56],"on":[57,196,252],"only":[60,71],"consider":[61],"distribution":[63],"alignment":[64],"from":[65,116,142],"single":[67],"representation,":[68],"which":[69,263],"may":[70],"part":[73],"state":[76,210],"knowledge":[77],"generate":[79,157],"fuzzy":[80],"decision":[81,171],"boundaries.":[82],"Therefore,":[83],"this":[84],"paper":[85],"proposes":[86],"multi-representation":[88,104],"domain":[89,121],"adaptation":[90],"network":[91,105],"with":[92],"duplex":[93],"adversarial":[94,122,152],"for":[96,138],"hot":[97,203],"mill":[99,112,205,234,259],"diagnosis.":[101],"First,":[102],"structure":[106],"is":[107,124,154,185],"designed":[108],"extract":[110],"status":[114],"information":[115],"multiple":[117,143],"perspectives.":[118],"Then,":[119],"strategy":[123],"adopted":[125,155],"match":[127],"source":[129,165],"target":[131,158],"domains":[132],"each":[134],"pair":[135],"representations":[137],"domain-invariant":[140],"features":[141,159],"representation":[144],"networks.":[145],"In":[146],"addition,":[147],"maximum":[149],"classifier":[150],"discrepancy":[151],"algorithm":[153],"that":[160,223],"are":[161,194,264],"close":[162],"support,":[166],"thereby":[167],"forming":[168],"robust":[170],"boundary.":[172],"Finally,":[173],"average":[175,243],"value":[176],"predicted":[179],"probabilities":[180],"two":[183],"classifiers":[184],"used":[186],"as":[187],"final":[189],"diagnostic":[190,244],"result.":[191],"Extensive":[192],"experiments":[193],"conducted":[195],"an":[197],"experimental":[198,220],"platform":[199],"four-high":[202],"collect":[207],"data":[211,254],"reduction":[214],"gearbox":[215,260],"roll":[217],"bearing.":[218],"results":[221],"reveal":[222],"method":[225],"can":[226,241],"effectively":[227],"realize":[228],"achieve":[242],"rates":[245,272],"up":[247],"99.15%":[249],"99.40%":[251],"sets":[255],"bearing,":[262],"respectively":[265],"2.19%":[266],"1.93%":[268],"higher":[269],"than":[270],"achieved":[273],"by":[274],"most":[276],"competitive":[277],"method.":[278]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
