{"id":"https://openalex.org/W4407737114","doi":"https://doi.org/10.1109/tr.2025.3535716","title":"Aeroengine Life Prediction and Status Evaluation Based on Sequential Multitask Learning and Health Indicators","display_name":"Aeroengine Life Prediction and Status Evaluation Based on Sequential Multitask Learning and Health Indicators","publication_year":2025,"publication_date":"2025-02-19","ids":{"openalex":"https://openalex.org/W4407737114","doi":"https://doi.org/10.1109/tr.2025.3535716"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2025.3535716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2025.3535716","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/A5103198186","display_name":"Anping Wan","orcid":"https://orcid.org/0000-0003-4412-5107"},"institutions":[{"id":"https://openalex.org/I4400573310","display_name":"Hangzhou City University","ror":"https://ror.org/01wck0s05","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573310"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anping Wan","raw_affiliation_strings":["Department of Mechanical Engineering, Hangzhou City University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Hangzhou City University, Hangzhou, China","institution_ids":["https://openalex.org/I4400573310"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408696","display_name":"Hua Zhang","orcid":"https://orcid.org/0000-0002-3940-8746"},"institutions":[{"id":"https://openalex.org/I4400573310","display_name":"Hangzhou City University","ror":"https://ror.org/01wck0s05","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573310"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Zhang","raw_affiliation_strings":["Department of Mechanical Engineering, Hangzhou City University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Hangzhou City University, Hangzhou, China","institution_ids":["https://openalex.org/I4400573310"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443173","display_name":"Ting Chen","orcid":"https://orcid.org/0000-0001-8414-6346"},"institutions":[{"id":"https://openalex.org/I4400573310","display_name":"Hangzhou City University","ror":"https://ror.org/01wck0s05","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573310"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Chen","raw_affiliation_strings":["Department of Mechanical Engineering, Hangzhou City University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Hangzhou City University, Hangzhou, China","institution_ids":["https://openalex.org/I4400573310"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047288520","display_name":"Khalil AL-Bukhaiti","orcid":"https://orcid.org/0000-0003-1286-8774"},"institutions":[{"id":"https://openalex.org/I4400573310","display_name":"Hangzhou City University","ror":"https://ror.org/01wck0s05","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573310"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Khalil Al-Bukhaiti","raw_affiliation_strings":["Department of Mechanical Engineering, Hangzhou City University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1286-8774","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Hangzhou City University, Hangzhou, China","institution_ids":["https://openalex.org/I4400573310"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370065","display_name":"Wenhui Wang","orcid":"https://orcid.org/0000-0001-5884-7421"},"institutions":[{"id":"https://openalex.org/I4400573310","display_name":"Hangzhou City University","ror":"https://ror.org/01wck0s05","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573310"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Wang","raw_affiliation_strings":["Department of Mechanical Engineering, Hangzhou City University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Hangzhou City University, Hangzhou, China","institution_ids":["https://openalex.org/I4400573310"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100762044","display_name":"Jinglin Wang","orcid":"https://orcid.org/0000-0002-1243-8363"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinglin Wang","raw_affiliation_strings":["Aviation Key Laboratory of Science and Technology on Fault Diagnosis Health Management, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aviation Key Laboratory of Science and Technology on Fault Diagnosis Health Management, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033351475","display_name":"Tianmin Shan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tianmin Shan","raw_affiliation_strings":["Aviation Key Laboratory of Science and Technology on Fault Diagnosis Health Management, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aviation Key Laboratory of Science and Technology on Fault Diagnosis Health Management, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104347624","display_name":"Luoke Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4400573310","display_name":"Hangzhou City University","ror":"https://ror.org/01wck0s05","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573310"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luoke Hu","raw_affiliation_strings":["Department of Mechanical Engineering, Hangzhou City University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7191-3091","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Hangzhou City University, Hangzhou, China","institution_ids":["https://openalex.org/I4400573310"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.9313,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.99155501,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"74","issue":"3","first_page":"3833","last_page":"3846"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.7578999996185303,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.7578999996185303,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.5531227588653564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5245157480239868},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.48843660950660706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48297396302223206},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46036019921302795},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4384646713733673},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.29603856801986694},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.1367051601409912},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.0930509865283966}],"concepts":[{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.5531227588653564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5245157480239868},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.48843660950660706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48297396302223206},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46036019921302795},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4384646713733673},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29603856801986694},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.1367051601409912},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0930509865283966},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2025.3535716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2025.3535716","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":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G263762372","display_name":null,"funder_award_id":"52372420","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2016043834","https://openalex.org/W2120841219","https://openalex.org/W2188854810","https://openalex.org/W2295598076","https://openalex.org/W2473294140","https://openalex.org/W2601486059","https://openalex.org/W2747276445","https://openalex.org/W2775466977","https://openalex.org/W2787894218","https://openalex.org/W2809290718","https://openalex.org/W2885732902","https://openalex.org/W2910660149","https://openalex.org/W2922520136","https://openalex.org/W2942721092","https://openalex.org/W2963358003","https://openalex.org/W2981973403","https://openalex.org/W3006585575","https://openalex.org/W3039979186","https://openalex.org/W3043216915","https://openalex.org/W3044911604","https://openalex.org/W3045614568","https://openalex.org/W3049686946","https://openalex.org/W3087263204","https://openalex.org/W3119743098","https://openalex.org/W3147229768","https://openalex.org/W3152950602","https://openalex.org/W3177862163","https://openalex.org/W3192574723","https://openalex.org/W3198365811","https://openalex.org/W3209846823","https://openalex.org/W3215408158","https://openalex.org/W3215547591","https://openalex.org/W4200209943","https://openalex.org/W4210585046","https://openalex.org/W4212863985","https://openalex.org/W4221025377","https://openalex.org/W4256097939","https://openalex.org/W4281707036","https://openalex.org/W4295654750","https://openalex.org/W4311220764","https://openalex.org/W4366957646","https://openalex.org/W4385429279","https://openalex.org/W4391301691","https://openalex.org/W4396774268","https://openalex.org/W4402197569"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W2033512842","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4233600955","https://openalex.org/W4386462264","https://openalex.org/W4322734194"],"abstract_inverted_index":{"In":[0,85],"this":[1],"article,":[2],"we":[3,87],"introduce":[4],"a":[5,45,81,89,145],"novel":[6],"method":[7,32,93,122,195,219],"that":[8,119],"uses":[9],"enhanced":[10],"sequential":[11],"multitask":[12,104],"learning":[13],"to":[14,38,94],"predict":[15],"the":[16,54,58,61,64,74,96,99,109,120,125,159,193,208,217,223],"remaining":[17],"useful":[18],"life":[19],"(RUL)":[20],"of":[21,57,149,192,207,216],"an":[22],"aeroengine":[23],"accurately":[24],"and":[25,43,70,132,138,155,178,186,202,211],"efficiently":[26],"while":[27],"evaluating":[28],"its":[29],"status.":[30],"The":[31,142,189,214],"innovatively":[33],"employs":[34],"extreme":[35],"gradient":[36],"boosting":[37],"extract":[39],"critical":[40],"performance":[41,50],"parameters":[42],"construct":[44],"robust":[46],"health":[47,59,139],"indicator":[48],"representing":[49],"degradation.":[51],"To":[52],"capture":[53],"time-series":[55],"features":[56],"indicator,":[60],"study":[62],"modifies":[63],"traditional":[65],"multigate":[66],"mixture-of-experts":[67],"(MMoE)":[68],"model":[69],"integrates":[71],"it":[72],"with":[73],"gated":[75,168,173],"recurrent":[76,169,174],"unit":[77,170,175],"(GRU)":[78],"network,":[79],"creating":[80],"hybrid":[82],"MMoE-GRU":[83],"model.":[84],"addition,":[86],"propose":[88],"dynamic":[90],"weight":[91],"balancing":[92],"optimize":[95],"tradeoff":[97],"in":[98,135],"joint":[100],"loss":[101],"function":[102],"for":[103],"learning.":[105],"Extensive":[106],"experiments":[107],"on":[108,222],"new":[110],"commercial":[111],"modular":[112],"aero-propulsion":[113],"system":[114],"simulation":[115],"(N-CMAPSS)":[116],"dataset":[117],"demonstrate":[118],"proposed":[121,194,218],"significantly":[123],"outperforms":[124],"existing":[126],"models,":[127],"achieving":[128],"lower":[129,157],"error":[130,147],"rates":[131],"higher":[133,204],"accuracy":[134,191],"RUL":[136],"prediction":[137],"status":[140],"evaluation.":[141],"technique":[143],"has":[144],"root-mean-square":[146],"(RMSE)":[148],"7.1%,":[150],"6.9%,":[151],"1.3%,":[152],"0.6%,":[153],"1.7%,":[154],"1.5%":[156],"than":[158,205],"long":[160],"short-term":[161],"memory":[162],"(LSTM),":[163],"GRU,":[164],"sequence-based":[165],"bottom":[166],"information":[167],"(SB-GRU),":[171],"deep":[172],"(DGRU),":[176],"multi-scale":[177],"multi-task":[179],"convolutional":[180],"neural":[181],"network":[182],"(M<sup":[183],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[184],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>STCNN),":[185],"MMoE":[187],"models.":[188],"average":[190],"is":[196,199,220],"96.732%,":[197],"which":[198],"10.629%,":[200],"1.587%,":[201],"2.499%":[203],"those":[206],"LSTM,":[209],"DGRU,":[210],"MMoE,":[212],"respectively.":[213],"superiority":[215],"validated":[221],"N-CMAPSS":[224],"dataset.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":17}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}