{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T18:09:47Z","timestamp":1770228587320,"version":"3.49.0"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":["62020106004"],"award-info":[{"award-number":["62020106004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62272342"],"award-info":[{"award-number":["62272342"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["92048301"],"award-info":[{"award-number":["92048301"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tim.2023.3273675","type":"journal-article","created":{"date-parts":[[2023,5,8]],"date-time":"2023-05-08T18:42:09Z","timestamp":1683571329000},"page":"1-11","source":"Crossref","is-referenced-by-count":14,"title":["FedBIP: A Federated Learning-Based Model for Wind Turbine Blade Icing Prediction"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6110-9016","authenticated-orcid":false,"given":"Dongtian","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7790-5161","authenticated-orcid":false,"given":"Weiwei","family":"Tian","sequence":"additional","affiliation":[{"name":"Department of Ocean Operations and Civil Engineering, Norwegian University of Science and Technology, &#x00C5;lesund, Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5336-7952","authenticated-orcid":false,"given":"Xu","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2074-0228","authenticated-orcid":false,"given":"Fan","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3787-484X","authenticated-orcid":false,"given":"Hong","family":"Qiu","sequence":"additional","affiliation":[{"name":"College of Big Data and Software Engineering, Zhejiang Wanli University, Ningbo, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5133-6688","authenticated-orcid":false,"given":"Xiufeng","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Technology, Management and Economics, Technical University of Denmark, Kongens Lyngby, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6705-3831","authenticated-orcid":false,"given":"Shengyong","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Tianjin University of Technology, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume":"54","author":"mcmahan","year":"0","journal-title":"Proc 20th Int Conf Artif Intell Statist"},{"key":"ref35","article-title":"FedBN: Federated learning on non-IID features via local batch normalization","author":"li","year":"2021","journal-title":"arXiv 2102 07623"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3167467"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2953131"},{"key":"ref15","article-title":"Waveletfcnn: A deep time series classification model for wind turbine blade icing detection","author":"yuan","year":"2019","journal-title":"arXiv 1902 05625"},{"key":"ref37","first-page":"560","article-title":"SignSGD: Compressed optimisation for non-convex problems","author":"bernstein","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2019.03.029"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref30","article-title":"Towards class imbalance in federated learning","author":"wang","year":"2020","journal-title":"arXiv 2008 06217"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jweia.2018.01.043"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-29763-x"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2014.11.1102"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.754"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/we.2427"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2020.125779"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.110009"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966039"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3093726"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2020.2967115"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/en15082864"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2021.3090702"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3159684"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICPSAsia55496.2022.9949863"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2022.111529"},{"key":"ref25","doi-asserted-by":"crossref","DOI":"10.1016\/j.energy.2022.124441","article-title":"Imbalanced federated learning model for blade icing detection of wind turbines","volume":"254","author":"cheng","year":"2022","journal-title":"Energy"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108290"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3102514"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2021.117809"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3115817"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3063482"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3190034"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijheatfluidflow.2016.06.006"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.2514\/1.23996"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/we.1952"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1061\/9780784479179.075"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/stc.2138"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultras.2015.12.005"},{"key":"ref5","first-page":"2","article-title":"Active icing monitoring for wind turbine blade models with PZT technology","volume":"39","author":"bin","year":"2017","journal-title":"Piezoelectric And Acoustoptics"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10012124\/10121172.pdf?arnumber=10121172","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T18:04:19Z","timestamp":1686593059000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10121172\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/tim.2023.3273675","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}