{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T16:23:17Z","timestamp":1778602997315,"version":"3.51.4"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62403151"],"award-info":[{"award-number":["62403151"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Natural Science Foundation of Guangxi Province","award":["2024GXNSFBA010404"],"award-info":[{"award-number":["2024GXNSFBA010404"]}]},{"DOI":"10.13039\/501100019620","name":"Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology","doi-asserted-by":"publisher","award":["22-35-4-S303"],"award-info":[{"award-number":["22-35-4-S303"]}],"id":[{"id":"10.13039\/501100019620","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tim.2025.3551875","type":"journal-article","created":{"date-parts":[[2025,3,17]],"date-time":"2025-03-17T17:33:25Z","timestamp":1742232805000},"page":"1-10","source":"Crossref","is-referenced-by-count":13,"title":["SCADA Data-Driven Spatio-Temporal Graph Convolutional Neural Network for Wind Turbine Fault Diagnosis"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-8900-8555","authenticated-orcid":false,"given":"Jiachen","family":"Ma","sequence":"first","affiliation":[{"name":"Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology, School of Mechanical Engineering, Guangxi University, Nanning, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8461-2528","authenticated-orcid":false,"given":"Yang","family":"Fu","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology, School of Mechanical Engineering, Guangxi University, Nanning, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9606-5168","authenticated-orcid":false,"given":"Tianle","family":"Cheng","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology, School of Mechanical Engineering, Guangxi University, Nanning, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7668-9399","authenticated-orcid":false,"given":"Deqiang","family":"He","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology, School of Mechanical Engineering, Guangxi University, Nanning, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2001-8131","authenticated-orcid":false,"given":"Hongrui","family":"Cao","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Manufacturing Systems Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7837-9291","authenticated-orcid":false,"given":"Bin","family":"Yu","sequence":"additional","affiliation":[{"name":"Beijing Goldwind Science and Wingpower Equipment Company Ltd., Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1126\/science.aau2027"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1039\/C8EE01419A"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2011.07.151"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.54394\/cjqu6666"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/we.1508"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2022.109605"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2021.109261"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2014.12.005"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2024.110677"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2024.08.029"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2024.110143"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/we.1521"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/acb78e"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2021.117925"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3046566"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2022.108445"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3041114"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.109094"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108388"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2023.110935"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3075742"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/en11051309"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2019.09.041"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2018.10.047"},{"issue":"1","key":"ref25","first-page":"81","article-title":"Fault diagnosis of wind turbine generator based on deep autoencoder network and XGBoost","volume":"43","author":"Zhao","year":"2019","journal-title":"Autom. Electr. Power Syst."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.110009"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2020.103573"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2021.101445"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3265525"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.107104"},{"issue":"1","key":"ref32","first-page":"235","article-title":"Condition monitoring of wind turbine gearbox based on LSTM neural network fusing SCADA data","volume":"42","author":"Huang","year":"2021","journal-title":"Acta Energiae Solaris Sinica"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2582729"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2018.10.031"},{"issue":"11","key":"ref35","first-page":"2348","article-title":"A wind turbine fault diagnosis method based on Siamese deep neural network","volume":"34","author":"Liu","year":"2022","journal-title":"J. Syst. Simul."},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106000"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109340"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3284924"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2019.07.033"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2020.06.154"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2021.121523"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.01.001"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11604"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/19\/10764799\/10930628.pdf?arnumber=10930628","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T21:07:31Z","timestamp":1743541651000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10930628\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/tim.2025.3551875","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}