{"id":"https://openalex.org/W4412913319","doi":"https://doi.org/10.1007/s40747-025-02027-z","title":"Life prediction and health assessment of aero-engine gas path using digital twin and deep learning","display_name":"Life prediction and health assessment of aero-engine gas path using digital twin and deep learning","publication_year":2025,"publication_date":"2025-07-25","ids":{"openalex":"https://openalex.org/W4412913319","doi":"https://doi.org/10.1007/s40747-025-02027-z"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-025-02027-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02027-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02027-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02027-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Mingyue Wu","orcid":"https://orcid.org/0009-0006-5037-2867"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]},{"id":"https://openalex.org/I4210109901","display_name":"Shanghai Urban Transportation Design Institute (China)","ror":"https://ror.org/01wxtxj33","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210109901"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingyue Wu","raw_affiliation_strings":["College of Air Transportation, Shanghai University of Engineering Science, Song Jiang, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Air Transportation, Shanghai University of Engineering Science, Song Jiang, Shanghai, China","institution_ids":["https://openalex.org/I141962983","https://openalex.org/I4210109901"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hong Zhou","orcid":"https://orcid.org/0000-0002-2824-7799"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]},{"id":"https://openalex.org/I4210109901","display_name":"Shanghai Urban Transportation Design Institute (China)","ror":"https://ror.org/01wxtxj33","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210109901"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhou","raw_affiliation_strings":["College of Air Transportation, Shanghai University of Engineering Science, Song Jiang, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Air Transportation, Shanghai University of Engineering Science, Song Jiang, Shanghai, China","institution_ids":["https://openalex.org/I141962983","https://openalex.org/I4210109901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102002055","display_name":"Rui Yao","orcid":"https://orcid.org/0000-0002-2039-4305"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]},{"id":"https://openalex.org/I4210109901","display_name":"Shanghai Urban Transportation Design Institute (China)","ror":"https://ror.org/01wxtxj33","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210109901"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rao Yao","raw_affiliation_strings":["College of Air Transportation, Shanghai University of Engineering Science, Song Jiang, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Air Transportation, Shanghai University of Engineering Science, Song Jiang, Shanghai, China","institution_ids":["https://openalex.org/I141962983","https://openalex.org/I4210109901"]}]},{"author_position":"last","author":{"id":null,"display_name":"Shuhong Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I192868223","display_name":"Zhengzhou University of Aeronautics","ror":"https://ror.org/01qjyzh50","country_code":"CN","type":"education","lineage":["https://openalex.org/I192868223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhong Ren","raw_affiliation_strings":["School of Aero Engine, Zhengzhou University of Aeronautics, Zhengzhou, 450046, Henan, China"],"affiliations":[{"raw_affiliation_string":"School of Aero Engine, Zhengzhou University of Aeronautics, Zhengzhou, 450046, Henan, China","institution_ids":["https://openalex.org/I192868223"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141962983","https://openalex.org/I4210109901"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":3.1073,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.91765881,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"11","issue":"9","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9749000072479248,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9749000072479248,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9746999740600586,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9739999771118164,"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/computational-intelligence","display_name":"Computational intelligence","score":0.7239062786102295},{"id":"https://openalex.org/keywords/aero-engine","display_name":"Aero engine","score":0.6408669948577881},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6189779043197632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4580894708633423},{"id":"https://openalex.org/keywords/path-analysis","display_name":"Path analysis (statistics)","score":0.44321513175964355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43180227279663086},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33526480197906494},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33432602882385254},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3023788332939148},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.21024835109710693}],"concepts":[{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.7239062786102295},{"id":"https://openalex.org/C2985438705","wikidata":"https://www.wikidata.org/wiki/Q743004","display_name":"Aero engine","level":2,"score":0.6408669948577881},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6189779043197632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4580894708633423},{"id":"https://openalex.org/C82793941","wikidata":"https://www.wikidata.org/wiki/Q1046024","display_name":"Path analysis (statistics)","level":2,"score":0.44321513175964355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43180227279663086},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33526480197906494},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33432602882385254},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3023788332939148},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.21024835109710693},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-025-02027-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02027-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02027-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0ba93b33cacb4b64be0252c8f4681bfc","is_oa":true,"landing_page_url":"https://doaj.org/article/0ba93b33cacb4b64be0252c8f4681bfc","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 11, Iss 9, Pp 1-21 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-025-02027-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-025-02027-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-025-02027-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5966532242","display_name":null,"funder_award_id":"62171271","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/W4412913319.pdf","grobid_xml":"https://content.openalex.org/works/W4412913319.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1966819490","https://openalex.org/W2110940238","https://openalex.org/W2176950688","https://openalex.org/W2415594836","https://openalex.org/W2471161958","https://openalex.org/W2602377377","https://openalex.org/W2773549135","https://openalex.org/W2807880213","https://openalex.org/W2910597635","https://openalex.org/W3003667836","https://openalex.org/W3021282718","https://openalex.org/W3032592799","https://openalex.org/W3043899196","https://openalex.org/W3106941850","https://openalex.org/W3156206740","https://openalex.org/W3157777676","https://openalex.org/W3203057282","https://openalex.org/W3207740732","https://openalex.org/W4205947740","https://openalex.org/W4206994879","https://openalex.org/W4293078508","https://openalex.org/W4388995004","https://openalex.org/W4391009444","https://openalex.org/W4391333878","https://openalex.org/W4391411851","https://openalex.org/W4391640576","https://openalex.org/W4394816852","https://openalex.org/W4398202214","https://openalex.org/W4399176683","https://openalex.org/W4399703376","https://openalex.org/W4401054168","https://openalex.org/W4401463359","https://openalex.org/W4402079043","https://openalex.org/W4402568506","https://openalex.org/W4404783857","https://openalex.org/W4405125576"],"related_works":["https://openalex.org/W2362167128","https://openalex.org/W132219086","https://openalex.org/W1963862887","https://openalex.org/W2978112805","https://openalex.org/W2355013214","https://openalex.org/W2371923828","https://openalex.org/W2371727003","https://openalex.org/W2736674626","https://openalex.org/W2973875853","https://openalex.org/W1964909551"],"abstract_inverted_index":{"This":[0],"study":[1,42,190],"proposes":[2],"a":[3,82,120,192,198,214],"system":[4],"for":[5,125,218],"health":[6,97,221],"monitoring":[7],"and":[8,23,37,58,75,100,113,136,146,159,166,210],"remaining":[9],"useful":[10],"life":[11],"(RUL)":[12],"prediction":[13,77],"of":[14,29,108,164,181],"aviation":[15,219],"engine":[16,220],"gas":[17],"path":[18],"that":[19,150],"integrates":[20],"digital":[21,126,193],"twins":[22],"deep":[24],"learning.":[25],"Addressing":[26],"the":[27,65,94,105,117,133,142,147,178,185],"limitations":[28],"existing":[30],"data-driven":[31],"methods":[32],"in":[33,162,170],"feature":[34],"extraction":[35],"capabilities":[36,107],"dynamic":[38],"interaction":[39,85,123],"mechanisms,":[40,57],"this":[41,189],"designs":[43],"an":[44,59],"improved":[45],"Transformer":[46],"model":[47,66,72],"(TMR).":[48],"By":[49],"incorporating":[50],"learnable":[51],"position":[52],"encoding,":[53],"serial":[54],"multi-head":[55],"attention":[56],"optimized":[60],"multi-layer":[61],"perceptron":[62],"(MLP)":[63],"structure,":[64],"significantly":[67],"enhances":[68],"its":[69],"ability":[70],"to":[71,89,131,184,205],"time-series":[73],"data":[74,203],"improve":[76,132],"accuracy.":[78],"Based":[79],"on":[80],"this,":[81],"multi-level":[83],"virtual-reality":[84],"mechanism":[86],"was":[87,129],"constructed":[88,191],"achieve":[90],"real-time":[91,216],"linkage":[92],"between":[93],"physical":[95],"space,":[96],"assessment":[98],"module,":[99],"maintenance":[101],"decision-making":[102],"scenarios,":[103],"enhancing":[104],"integration":[106],"state":[109],"perception,":[110],"information":[111],"transmission,":[112],"collaborative":[114],"decision-making.":[115],"At":[116],"same":[118],"time,":[119],"three-dimensional":[121],"visualization":[122],"framework":[124],"twin":[127,194],"systems":[128],"developed":[130],"system\u2019s":[134],"observability":[135],"interpretability.":[137],"Experiments":[138],"were":[139],"conducted":[140],"using":[141],"NASA":[143],"CMAPSS":[144],"dataset,":[145],"results":[148],"showed":[149],"TMR":[151],"outperformed":[152],"mainstream":[153],"models":[154],"such":[155],"as":[156],"LSTM,":[157],"CNN,":[158],"traditional":[160],"Transformers":[161],"terms":[163],"RMSE":[165],"Score":[167],"metrics,":[168],"particularly":[169],"complex":[171],"multi-condition":[172],"scenarios.":[173],"Ablation":[174],"experiments":[175],"further":[176],"validated":[177],"critical":[179],"contributions":[180],"each":[182],"component":[183],"overall":[186],"performance.":[187],"Finally,":[188],"platform":[195],"prototype,":[196],"achieving":[197],"complete":[199],"closed-loop":[200],"process":[201],"from":[202],"collection":[204],"condition":[206],"monitoring,":[207],"performance":[208],"prediction,":[209],"decision":[211],"support,":[212],"providing":[213],"high-precision,":[215],"solution":[217],"management":[222],"with":[223],"promising":[224],"engineering":[225],"application":[226],"prospects.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
