{"id":"https://openalex.org/W4416114238","doi":"https://doi.org/10.1109/tr.2025.3626358","title":"Aircraft Engine Remaining Useful Life Estimation via a Graph Attention Reconcile Network Model Based on Physical Equations and Sensor Data","display_name":"Aircraft Engine Remaining Useful Life Estimation via a Graph Attention Reconcile Network Model Based on Physical Equations and Sensor Data","publication_year":2025,"publication_date":"2025-11-11","ids":{"openalex":"https://openalex.org/W4416114238","doi":"https://doi.org/10.1109/tr.2025.3626358"},"language":null,"primary_location":{"id":"doi:10.1109/tr.2025.3626358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2025.3626358","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"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 Reliability","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/A5102786499","display_name":"Wenyue Cui","orcid":"https://orcid.org/0000-0002-7639-3037"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenyue Cui","raw_affiliation_strings":["Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019921987","display_name":"Shuo Zhang","orcid":"https://orcid.org/0000-0002-9856-2444"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106406829","display_name":"Tao Sun","orcid":"https://orcid.org/0000-0002-6618-1081"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Sun","raw_affiliation_strings":["Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100704385","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0002-8351-6816"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["Key Laboratory of Advanced Technology for Aerospace Vehicles, Liaoning Province and the School of Aeronautics and Astronautics, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Technology for Aerospace Vehicles, Liaoning Province and the School of Aeronautics and Astronautics, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102786499"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44691572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":"4","first_page":"5244","last_page":"5258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.7170000076293945,"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":0.7170000076293945,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.03909999877214432,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.02019999921321869,"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/attention-network","display_name":"Attention network","score":0.666700005531311},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.5756000280380249},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5365999937057495},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5184999704360962},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4271000027656555},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4083000123500824},{"id":"https://openalex.org/keywords/condition-monitoring","display_name":"Condition monitoring","score":0.38749998807907104},{"id":"https://openalex.org/keywords/network-model","display_name":"Network model","score":0.38040000200271606},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.37860000133514404},{"id":"https://openalex.org/keywords/linkage","display_name":"Linkage (software)","score":0.359499990940094}],"concepts":[{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.666700005531311},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5874999761581421},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5756000280380249},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5365999937057495},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5184999704360962},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.489300012588501},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4271000027656555},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4083000123500824},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.38749998807907104},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.38040000200271606},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.37860000133514404},{"id":"https://openalex.org/C31266012","wikidata":"https://www.wikidata.org/wiki/Q6554340","display_name":"Linkage (software)","level":3,"score":0.359499990940094},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.3440000116825104},{"id":"https://openalex.org/C187593909","wikidata":"https://www.wikidata.org/wiki/Q838024","display_name":"Bond graph","level":2,"score":0.3361999988555908},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.31850001215934753},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.3109000027179718},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3089999854564667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3057999908924103},{"id":"https://openalex.org/C116672817","wikidata":"https://www.wikidata.org/wiki/Q1454986","display_name":"Physical system","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2939999997615814},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.29280000925064087},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C2983703474","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Probability estimation","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C23725684","wikidata":"https://www.wikidata.org/wiki/Q616377","display_name":"Maintenance engineering","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C107645828","wikidata":"https://www.wikidata.org/wiki/Q12070446","display_name":"System model","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26080000400543213},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2025.3626358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2025.3626358","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"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 Reliability","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2116341502","https://openalex.org/W2120841219","https://openalex.org/W2463813940","https://openalex.org/W2471161958","https://openalex.org/W2772084711","https://openalex.org/W2808622270","https://openalex.org/W2904460913","https://openalex.org/W2927135077","https://openalex.org/W3001566134","https://openalex.org/W3011383917","https://openalex.org/W3011985653","https://openalex.org/W3014146531","https://openalex.org/W3119743098","https://openalex.org/W3135719380","https://openalex.org/W3159794420","https://openalex.org/W3164718444","https://openalex.org/W3185016559","https://openalex.org/W4200473862","https://openalex.org/W4211206835","https://openalex.org/W4285207637","https://openalex.org/W4285284550","https://openalex.org/W4292976134","https://openalex.org/W4308094297","https://openalex.org/W4312734973","https://openalex.org/W4320181720","https://openalex.org/W4323363550","https://openalex.org/W4324118408","https://openalex.org/W4366484334","https://openalex.org/W4385453015","https://openalex.org/W4387385568","https://openalex.org/W4387415062","https://openalex.org/W4388838077","https://openalex.org/W4389068084","https://openalex.org/W4409560440","https://openalex.org/W4412837103"],"related_works":[],"abstract_inverted_index":{"The":[0,102],"prediction":[1,143],"of":[2,19,66,130,167],"remaining":[3],"useful":[4],"life":[5],"(RUL)":[6],"for":[7,23],"aircraft":[8,47,87],"engines":[9],"stands":[10],"as":[11,46],"a":[12,51,64,75,92,112,122,135],"critical":[13],"process":[14],"ensuring":[15],"the":[16,34,55,72,128,148,164,168],"safe":[17],"operation":[18],"aircraft.":[20],"Traditional":[21],"methods":[22],"estimating":[24],"RUL":[25,142],"primarily":[26],"mine":[27],"temporal":[28,123],"features":[29],"within":[30],"data,":[31],"frequently":[32],"overlooking":[33],"complex":[35],"interdependencies":[36],"among":[37,54],"multivariate":[38],"signals.":[39],"Furthermore,":[40],"in":[41,63],"actual":[42],"physical":[43],"systems":[44],"such":[45],"engines,":[48],"there":[49],"is":[50,138],"dynamic":[52],"linkage":[53],"sensor":[56,97],"data.":[57],"Ignoring":[58],"these":[59],"subtleties":[60],"can":[61],"result":[62],"reduction":[65],"estimation":[67],"accuracy.":[68,144],"Addressing":[69],"this":[70],"challenge,":[71],"article":[73],"proposes":[74],"novel":[76],"graph":[77,94],"attention":[78,106,114,124],"reconcile":[79],"network":[80,103],"integrated":[81],"with":[82,99],"priori":[83],"knowledge":[84],"to":[85,108,116,126,140],"predict":[86],"engine":[88],"RUL.":[89],"It":[90],"constructs":[91],"time-series":[93],"by":[95],"fusing":[96],"data":[98],"aerothermodynamics":[100],"equations.":[101],"employs":[104],"dual":[105],"mechanisms":[107],"capture":[109],"spatio-temporal":[110],"features:":[111],"spatial":[113],"module":[115,125],"identify":[117],"relationships":[118],"between":[119],"sensors,":[120],"and":[121,155],"highlight":[127],"importance":[129],"different":[131],"time":[132],"steps.":[133],"Additionally,":[134],"LSTM":[136],"layer":[137],"incorporated":[139],"enhance":[141],"Comparative":[145],"analysis":[146],"using":[147],"Commercial":[149,157],"Modular":[150,158],"Aero-Propulsion":[151,159],"System":[152,160],"Simulation":[153,161],"datasets":[154,162],"new":[156],"demonstrates":[163],"superior":[165],"performance":[166],"proposed":[169],"model":[170],"over":[171],"other":[172],"prevailing":[173],"approaches.":[174]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-11T00:00:00"}
