{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T15:52:32Z","timestamp":1765295552148,"version":"3.33.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,11,11]],"date-time":"2024-11-11T00:00:00Z","timestamp":1731283200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,11]],"date-time":"2024-11-11T00:00:00Z","timestamp":1731283200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012190","name":"Ministry of Science and Higher Education of the Russian Federation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,11]]},"DOI":"10.1109\/iccma63715.2024.10843918","type":"proceedings-article","created":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T18:41:59Z","timestamp":1737398519000},"page":"409-414","source":"Crossref","is-referenced-by-count":1,"title":["Machine Learning Strategies for Wind Turbine Fault Diagnosis: A Comparative Study"],"prefix":"10.1109","author":[{"given":"Galina","family":"Demidova","sequence":"first","affiliation":[{"name":"Moscow Power Engineering Institute,Electric Drive Department,Moscow,Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alecksey","family":"Anuchin","sequence":"additional","affiliation":[{"name":"Moscow Power Engineering Institute,Electric Drive Department,Moscow,Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Denis","family":"Semenov","sequence":"additional","affiliation":[{"name":"ITMO University,Faculty of Control System and Robotics,Saint-Petersburg,Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Konstantin","family":"Savichev","sequence":"additional","affiliation":[{"name":"JSC \"Power Machines\",Engineering Center,Saint-Petersburg,Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-33866-6_62"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3429632"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.23919\/pcmp.2023.000241"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3424567"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/Ee59906.2023.10346196"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/OJPEL.2024.3429412"},{"key":"ref7","first-page":"3132","article-title":"Using SCADA Data for Wind Turbine Condition Monitoring: A Systematic Literature Review","volume-title":"Energies","volume":"13","author":"Maldonado-Correa","year":"2020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1177\/0309524X221124031"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICPHM.2016.7542860"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3272001"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3370786"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2947501"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.engfailanal.2023.107209"},{"key":"ref14","first-page":"1686","article-title":"Vibration Analysis for Fault Detection of Wind Turbine Drivetrains\u2014A Comprehensive Investigation","volume-title":"Sensors","volume":"21","author":"Teng","year":"2021"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3389\/fenrg.2023.1284676"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.rineng.2022.100640"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCES51350.2021.9488986"},{"key":"ref18","first-page":"4903","article-title":"A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning","volume-title":"Mach Learn","volume":"113","author":"Elreedy","year":"2024"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2997330"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2962878"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3416838"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/OJIM.2023.3320765"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/EDM61683.2024.10615179"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.193"}],"event":{"name":"2024 12th International Conference on Control, Mechatronics and Automation (ICCMA)","start":{"date-parts":[[2024,11,11]]},"location":"London, United Kingdom","end":{"date-parts":[[2024,11,13]]}},"container-title":["2024 12th International Conference on Control, Mechatronics and Automation (ICCMA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10843870\/10843809\/10843918.pdf?arnumber=10843918","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,21]],"date-time":"2025-01-21T06:51:36Z","timestamp":1737442296000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10843918\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,11]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/iccma63715.2024.10843918","relation":{},"subject":[],"published":{"date-parts":[[2024,11,11]]}}}