{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T19:49:16Z","timestamp":1772567356394,"version":"3.50.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100018537","name":"National Science and Technology Major Project","doi-asserted-by":"publisher","award":["2017-V-0011-0062"],"award-info":[{"award-number":["2017-V-0011-0062"]}],"id":[{"id":"10.13039\/501100018537","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3205105","type":"journal-article","created":{"date-parts":[[2022,9,19]],"date-time":"2022-09-19T20:16:45Z","timestamp":1663618605000},"page":"96967-96983","source":"Crossref","is-referenced-by-count":14,"title":["Fault Diagnosis of Aeroengine Control System Sensor Based on Optimized and Fused Multidomain Feature"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1302-0580","authenticated-orcid":false,"given":"Huihui","family":"Li","sequence":"first","affiliation":[{"name":"School of Power and Energy, Northwestern Polytechnical University, Xi’an, China"}]},{"given":"Linfeng","family":"Gou","sequence":"additional","affiliation":[{"name":"School of Power and Energy, Northwestern Polytechnical University, Xi’an, China"}]},{"given":"Yingxue","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Power and Energy, Northwestern Polytechnical University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1383-2127","authenticated-orcid":false,"given":"Huacong","family":"Li","sequence":"additional","affiliation":[{"name":"School of Power and Energy, Northwestern Polytechnical University, Xi’an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2780278"},{"issue":"3","key":"ref2","first-page":"607","article-title":"Sensor fault diagnosis of gas turbine engines using an integrated scheme based on improved least squares support vector regression","volume":"234","author":"Yu","year":"2019","journal-title":"Proc. Inst. Mech. Eng., G, J. Aerosp. Eng."},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3022771"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2015.2480003"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ast.2020.106342"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2022.03.033"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/8868875"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.arcontrol.2016.09.008","article-title":"Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: A review of researches and future challenges","volume":"42","author":"Khaoula","year":"2016","journal-title":"Ann. Rev. Control"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)AS.1943-5525.0001105"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1115\/1.1850505"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)AS.1943-5525.0000052"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2964572"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.2514\/3.21194"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.07.021"},{"issue":"9","key":"ref15","first-page":"1285","article-title":"A review of data driven-based incipient fault diagnosis","volume":"42","author":"Wen","year":"2016","journal-title":"J. Automatica Sinica"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.2514\/1.J060131"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/stc.2839"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2016.11.019"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2669947"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2017.2746762"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1115\/1.4027215"},{"issue":"6","key":"ref22","first-page":"1118","article-title":"Fault diagnosis and adaptive reconfiguration control for sensors in aeroengine based on improved least squares support vector","volume":"23","author":"Cai","year":"2008","journal-title":"J. Aerosp. Power"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1177\/0957650918812510"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2020.103678"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3064976"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/5357146"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3053075"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2019.05.049"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2013.02.022"},{"issue":"9","key":"ref30","first-page":"147","article-title":"Fault diagnosis of aero-engine sensor based on deep learning","volume":"36","author":"Liu","year":"2017","journal-title":"Transducer Microsyst. Technol."},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.1601365"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.ast.2021.106642"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.07.015"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113364"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-020-01268-5"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.02.028"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.04.008"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-05720-5"},{"issue":"1","key":"ref40","first-page":"220","article-title":"Gas path fault mode identification of turboshaft engine based on ReliefF-LMBP algorithm","volume":"42","author":"Wang","year":"2021","journal-title":"J. Propuls. Technol."},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115016"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CMD.2012.6416248"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/S1000-9361(11)60342-7"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09881507.pdf?arnumber=9881507","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T06:33:59Z","timestamp":1709361239000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9881507\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3205105","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}