{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T08:44:05Z","timestamp":1769503445457,"version":"3.49.0"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2017,6,1]],"date-time":"2017-06-01T00:00:00Z","timestamp":1496275200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100006356","name":"University of Southern Denmark","doi-asserted-by":"publisher","award":["LORC-31708"],"award-info":[{"award-number":["LORC-31708"]}],"id":[{"id":"10.13039\/501100006356","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Electron."],"published-print":{"date-parts":[[2017,6]]},"DOI":"10.1109\/tie.2017.2674580","type":"journal-article","created":{"date-parts":[[2017,2,23]],"date-time":"2017-02-23T20:10:52Z","timestamp":1487880652000},"page":"4836-4845","source":"Crossref","is-referenced-by-count":7,"title":["Dependency in State Transitions of Wind Turbines\u2014Inference on Model Residuals for State Abstractions"],"prefix":"10.1109","volume":"64","author":[{"given":"Jurgen","family":"Herp","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad H.","family":"Ramezani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Esmaeil S.","family":"Nadimi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","author":"evans","year":"2000","journal-title":"Distributions of Statistics"},{"key":"ref32","author":"gelman","year":"2014","journal-title":"Bayesian Data Analysis"},{"key":"ref31","first-page":"90","article-title":"Applications of &#x2018;Student's&#x2019; distribution","volume":"5","author":"fisher","year":"1925","journal-title":"Metron"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.1922.0009"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TEC.2011.2176129"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/en7053104"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2010.05.014"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2015.12.018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2012.03.003"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2013.07.051"},{"key":"ref16","article-title":"Bayesian online changepoint detection","author":"prescott adams","year":"2007"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2811411.2811509"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.2200\/S00324ED1V01Y201102AIM010"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1982.1056489"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/359146.359152"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/UPEC.2006.367718"},{"key":"ref27","author":"carlin","year":"1996","journal-title":"Bayes and Empirical Bayes Methods for Data Analysis"},{"key":"ref3","first-page":"119","article-title":"Reliability, availability and maintenance aspects of large-scale offshore wind farms, a\n concepts study","volume":"113","author":"van bussel","year":"2001","journal-title":"Proc Marine Renewable Energies Conf"},{"key":"ref6","article-title":"Offshore\n wind power at rough sea: The need for new maintenance models","author":"petersen","year":"2013","journal-title":"Proc 20th EUROMICRO Conf"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176342879"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.2172\/882048"},{"key":"ref8","article-title":"Artificial neural network and EWMA-based fault prediction in wind turbines","author":"arabgol","year":"2014","journal-title":"Proc Ind Eng Res Conf"},{"key":"ref7","article-title":"Wind turbine fault detection based on artificial neural network analysis of scada data","author":"herp","year":"2015","journal-title":"Proc Eur Offshore Wind Energy Conf"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2008.09.004"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/EEEIC.2012.6221389"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2010.07.007"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/BF02478259"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1002\/we.319"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2013.2241797"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/753\/8\/082002"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2012.04.020"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1002\/we.295"},{"key":"ref25","first-page":"1","article-title":"Hybrid model for hourly forecast of photovoltaic and wind power","author":"quan","year":"2013","journal-title":"Proc IEEE Int Conf Fuzzy Syst"}],"container-title":["IEEE Transactions on Industrial Electronics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/41\/7924432\/07862874.pdf?arnumber=7862874","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:15:02Z","timestamp":1642004102000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7862874\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6]]},"references-count":33,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tie.2017.2674580","relation":{},"ISSN":["0278-0046","1557-9948"],"issn-type":[{"value":"0278-0046","type":"print"},{"value":"1557-9948","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,6]]}}}