{"id":"https://openalex.org/W4389145150","doi":"https://doi.org/10.3390/s23239494","title":"Aero-Engine Remaining Useful Life Prediction Based on Bi-Discrepancy Network","display_name":"Aero-Engine Remaining Useful Life Prediction Based on Bi-Discrepancy Network","publication_year":2023,"publication_date":"2023-11-29","ids":{"openalex":"https://openalex.org/W4389145150","doi":"https://doi.org/10.3390/s23239494","pmid":"https://pubmed.ncbi.nlm.nih.gov/38067867"},"language":"en","primary_location":{"id":"doi:10.3390/s23239494","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23239494","pdf_url":"https://www.mdpi.com/1424-8220/23/23/9494/pdf?version=1701244488","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","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/1424-8220/23/23/9494/pdf?version=1701244488","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102585336","display_name":"Nachuan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nachuan Liu","raw_affiliation_strings":["College of Equipment Management and UAV Engineering, Air Force Engineering University, Xi\u2019an 710051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Equipment Management and UAV Engineering, Air Force Engineering University, Xi\u2019an 710051, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036868171","display_name":"Xiaofeng Zhang","orcid":"https://orcid.org/0000-0001-9933-7495"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Zhang","raw_affiliation_strings":["College of Equipment Management and UAV Engineering, Air Force Engineering University, Xi\u2019an 710051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Equipment Management and UAV Engineering, Air Force Engineering University, Xi\u2019an 710051, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100555375","display_name":"Jiansheng Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiansheng Guo","raw_affiliation_strings":["College of Equipment Management and UAV Engineering, Air Force Engineering University, Xi\u2019an 710051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Equipment Management and UAV Engineering, Air Force Engineering University, Xi\u2019an 710051, China","institution_ids":["https://openalex.org/I4210104252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103121454","display_name":"Songyi Chen","orcid":"https://orcid.org/0000-0002-3424-4551"},"institutions":[{"id":"https://openalex.org/I4210104252","display_name":"Air Force Engineering University","ror":"https://ror.org/00seraz22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210104252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songyi Chen","raw_affiliation_strings":["College of Equipment Management and UAV Engineering, Air Force Engineering University, Xi\u2019an 710051, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Equipment Management and UAV Engineering, Air Force Engineering University, Xi\u2019an 710051, China","institution_ids":["https://openalex.org/I4210104252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102585336"],"corresponding_institution_ids":["https://openalex.org/I4210104252"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.4874,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71986074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"23","issue":"23","first_page":"9494","last_page":"9494"},"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":0.9933000206947327,"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":0.9933000206947327,"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/computer-science","display_name":"Computer science","score":0.6773666739463806},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6668341755867004},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6452696323394775},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6053282022476196},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.597233772277832},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5239439010620117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49612554907798767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46779805421829224},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44198697805404663},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.43475186824798584},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39030131697654724},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37926793098449707},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3413406014442444},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26328057050704956},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2433778941631317},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.10902798175811768},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.091744065284729}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6773666739463806},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6668341755867004},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6452696323394775},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6053282022476196},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.597233772277832},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5239439010620117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49612554907798767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46779805421829224},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44198697805404663},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.43475186824798584},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39030131697654724},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37926793098449707},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3413406014442444},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26328057050704956},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2433778941631317},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.10902798175811768},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.091744065284729},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s23239494","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23239494","pdf_url":"https://www.mdpi.com/1424-8220/23/23/9494/pdf?version=1701244488","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:38067867","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38067867","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10708796","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10708796","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10708796/pdf/sensors-23-09494.pdf","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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:d0e4de9613734c9687c29986b95827b9","is_oa":true,"landing_page_url":"https://doaj.org/article/d0e4de9613734c9687c29986b95827b9","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":"Sensors, Vol 23, Iss 23, p 9494 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s23239494","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23239494","pdf_url":"https://www.mdpi.com/1424-8220/23/23/9494/pdf?version=1701244488","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4389145150.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2049165798","https://openalex.org/W2115403315","https://openalex.org/W2735035337","https://openalex.org/W2900529838","https://openalex.org/W2907541186","https://openalex.org/W2945413072","https://openalex.org/W2963275094","https://openalex.org/W2975761873","https://openalex.org/W2990403609","https://openalex.org/W2999342951","https://openalex.org/W3021632667","https://openalex.org/W3045857695","https://openalex.org/W3094539536","https://openalex.org/W3116796810","https://openalex.org/W3132028723","https://openalex.org/W3200063094","https://openalex.org/W4221023673","https://openalex.org/W4281627474","https://openalex.org/W4281650942","https://openalex.org/W4308194821","https://openalex.org/W4309835949","https://openalex.org/W4320181720","https://openalex.org/W6688325169"],"related_works":["https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W2955455867","https://openalex.org/W3188573563","https://openalex.org/W4287064674","https://openalex.org/W3201246199","https://openalex.org/W4321649381","https://openalex.org/W3180787869","https://openalex.org/W2997645659","https://openalex.org/W3203792196"],"abstract_inverted_index":{"Most":[0],"unsupervised":[1],"domain":[2,23,45,52,81,113],"adaptation":[3],"(UDA)":[4],"methods":[5],"align":[6,125],"feature":[7,105],"distributions":[8],"across":[9],"different":[10,130],"domains":[11],"through":[12],"adversarial":[13,98],"learning.":[14],"However,":[15],"many":[16],"of":[17,92,129,168],"them":[18],"require":[19],"introducing":[20],"an":[21],"auxiliary":[22],"alignment":[24,40],"model,":[25],"which":[26,164],"incurs":[27],"additional":[28],"computational":[29],"costs.":[30],"In":[31,133],"addition,":[32],"they":[33],"generally":[34],"focus":[35],"on":[36,139,155],"the":[37,43,72,87,90,93,97,104,108,116,126,140,143,159,166,169],"global":[38,112],"distribution":[39],"and":[41,107,153],"ignore":[42],"fine-grained":[44,127],"discrepancy,":[46],"so":[47],"target":[48,77],"samples":[49,78],"with":[50,79,158],"significant":[51,80],"shifts":[53,82],"cannot":[54],"be":[55],"detected":[56,84],"or":[57],"processed":[58],"for":[59,71,111],"specific":[60],"tasks.":[61],"To":[62],"solve":[63],"these":[64],"problems,":[65],"a":[66],"bi-discrepancy":[67],"network":[68],"is":[69,101,121],"proposed":[70,170],"cross-domain":[73],"prediction":[74,136],"task.":[75],"Firstly,":[76],"are":[83],"by":[85,149],"maximizing":[86],"discrepancy":[88,120],"between":[89,103],"outputs":[91],"dual":[94,109],"regressor.":[95],"Secondly,":[96],"training":[99],"mechanism":[100],"adopted":[102],"generator":[106],"regressor":[110],"adaptation.":[114],"Finally,":[115],"local":[117],"maximum":[118],"mean":[119],"used":[122],"to":[123],"locally":[124],"features":[128],"degradation":[131],"stages.":[132],"12":[134],"cross@-domain":[135],"tasks":[137],"generated":[138],"C-MAPSS":[141],"dataset,":[142],"root-mean-square":[144],"error":[145],"(RMSE)":[146],"was":[147],"reduced":[148],"77.24%,":[150],"61.72%,":[151],"38.97%,":[152],"3.35%":[154],"average,":[156],"compared":[157],"four":[160],"mainstream":[161],"UDA":[162],"methods,":[163],"proved":[165],"effectiveness":[167],"method.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}