{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T17:11:36Z","timestamp":1763226696601,"version":"3.37.3"},"reference-count":51,"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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51577046"],"award-info":[{"award-number":["51577046"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"State Key Program of the National Natural Science Foundation of China","award":["51637004"],"award-info":[{"award-number":["51637004"]}]},{"name":"National Key Research and Development Plan\u2014Important Scientific Instruments and Equipment Development\u2014","award":["2016YFF0102200"],"award-info":[{"award-number":["2016YFF0102200"]}]},{"name":"Equipment Research Project in Advance","award":["41402040301"],"award-info":[{"award-number":["41402040301"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2925426","type":"journal-article","created":{"date-parts":[[2019,6,27]],"date-time":"2019-06-27T20:03:36Z","timestamp":1561665816000},"page":"87382-87395","source":"Crossref","is-referenced-by-count":22,"title":["Self-Powered Wireless Sensor for Fault Diagnosis of Wind Turbine Planetary Gearbox"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5716-6237","authenticated-orcid":false,"given":"Li","family":"Lu","sequence":"first","affiliation":[]},{"given":"Yigang","family":"He","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6727-399X","authenticated-orcid":false,"given":"Tao","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2691-4364","authenticated-orcid":false,"given":"Tiancheng","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Bing","family":"Li","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/0924-4247(96)80118-X"},{"key":"ref38","first-page":"294","article-title":"Modified particle swarm optimization with particles having quantum behavior","author":"jin-ling","year":"2007","journal-title":"Proc Int Conf Comput Sci"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2016.04.007"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2519325"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2015.11.014"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2016.2575318"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2004.1330875"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"66595","DOI":"10.1109\/ACCESS.2019.2917311","article-title":"Open switch fault diagnosis method for PWM voltage source rectifier based on deep learning approach","volume":"7","author":"tiancheng","year":"2019","journal-title":"IEEE Access"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1049\/iet-smt.2016.0423"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"379","DOI":"10.3390\/en9060379","article-title":"Representational learning for fault diagnosis of wind turbine equipment: A multi-layered extreme learning machines approach","volume":"9","author":"zhi-xin","year":"2016","journal-title":"Energies"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2016.2598019"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2013.04.015"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2016.2566838"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2015.2422394"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JESTPE.2013.2275978"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2016.10.006"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IPSN.2005.1440973"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2017.2777925"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JMEMS.2016.2611677"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"29192","DOI":"10.3390\/s151129192","article-title":"An inductorless self-controlled rectifier for piezoelectric energy harvesting","volume":"15","author":"shaohua","year":"2015","journal-title":"SENSORS"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/srep41396"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1063\/1.4919875"},{"journal-title":"Rohde & Schwarz China","year":"2018","key":"ref50"},{"journal-title":"Vibration Fault Diagnosis Method for Planetary Gear Box","year":"2015","author":"zhi-peng","key":"ref51"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2009.2023503"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2013.2238871"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IECON.2010.5675135"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1049\/iet-rpg:20080006"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2018.03.052"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"1164","DOI":"10.3390\/app8071164","article-title":"An integrated self-diagnosis system for an autonomous vehicle based on an IoT gateway and deep learning","volume":"8","author":"yina","year":"2018","journal-title":"Appl Sci"},{"key":"ref16","first-page":"1693","article-title":"Real-time wireless, contactless, and coreless monitoring of the current distribution in substation conductors for fault diagnosis","volume":"5","author":"akash","year":"2019","journal-title":"IEEE Sensors J"},{"key":"ref17","first-page":"818","article-title":"Transformer health management based on self-powered RFID sensor and multiple kernel RVM","volume":"68","author":"tao","year":"2018","journal-title":"IEEE Trans Instrum Meas"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cds.2011.0287"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/s140916932"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.2172\/1027157"},{"key":"ref3","first-page":"1","article-title":"Gearbox reliability database: Yesterday, today, and tomorrow","author":"sheng","year":"2014"},{"key":"ref6","first-page":"1","article-title":"Wind turbine drivetrain condition monitoring&#x2014;An overview","author":"sheng","year":"2011","journal-title":"Mechanical Failures Prevention Group Applies Systems Health Management Conference"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/we.421"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/we.1585"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1006\/mssp.1999.1294"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/SmartGridComm.2011.6102400"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TEC.2012.2189887"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1995.488968"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2003.820841"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2017.2738028"},{"key":"ref47","doi-asserted-by":"crossref","first-page":"6399","DOI":"10.1109\/JSEN.2018.2844799","article-title":"Transformer fault diagnosis using self-powered RFID sensor and deep learning approach","volume":"18","author":"tao","year":"2018","journal-title":"IEEE Sensors J"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1023\/A:1018628609742"},{"key":"ref41","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/72.991427"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08747487.pdf?arnumber=8747487","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T19:40:41Z","timestamp":1628624441000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8747487\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2925426","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}