{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T14:19:38Z","timestamp":1769350778399,"version":"3.49.0"},"reference-count":21,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"name":"Hebei Province Science and Technology Plan Project: Construction and Application of Wind Power \u201cSmart Capsule\u201d Cloud Management Platform Based on Big Data Technology","award":["17214304D"],"award-info":[{"award-number":["17214304D"]}]},{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province","doi-asserted-by":"publisher","award":["F2018202206"],"award-info":[{"award-number":["F2018202206"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2893206","type":"journal-article","created":{"date-parts":[[2019,1,21]],"date-time":"2019-01-21T20:04:55Z","timestamp":1548101095000},"page":"13078-13091","source":"Crossref","is-referenced-by-count":42,"title":["Stacked Denoising Autoencoder With Density-Grid Based Clustering Method for Detecting Outlier of Wind Turbine Components"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0702-3347","authenticated-orcid":false,"given":"Zexian","family":"Sun","sequence":"first","affiliation":[]},{"given":"Hexu","family":"Sun","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1175\/2009JTECHA1299.1"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2017.2656939"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2713048"},{"key":"ref13","first-page":"39","article-title":"Characteristics and processing method of abnormal data clusters caused by wind curtailments in wind farms","volume":"38","author":"yongning","year":"2014","journal-title":"Autom Electr Power Syst"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2688477"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2016.2628747"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2730846"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1049\/iet-smt.2016.0423"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2740968"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2018.05.024"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"1296","DOI":"10.1109\/TNN.2010.2053853","article-title":"Fast support vector data descriptions for novelty detection","volume":"21","author":"liu","year":"2010","journal-title":"IEEE Trans Neural Netw"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2016.2603420"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-011-0625-3"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.10.009"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2614896"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2017.2717021"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2018.2822682"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1109\/TPAMI.2010.188","article-title":"Selecting critical patterns based on local geometrical and statistical information","volume":"33","author":"li","year":"2011","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2735661"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0165972"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08620681.pdf?arnumber=8620681","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T23:21:30Z","timestamp":1643239290000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8620681\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2893206","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}