{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T01:08:19Z","timestamp":1762045699633,"version":"build-2065373602"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T00:00:00Z","timestamp":1639353600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T00:00:00Z","timestamp":1639353600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,13]],"date-time":"2021-12-13T00:00:00Z","timestamp":1639353600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,13]]},"DOI":"10.1109\/ieem50564.2021.9672830","type":"proceedings-article","created":{"date-parts":[[2022,1,19]],"date-time":"2022-01-19T20:36:21Z","timestamp":1642624581000},"page":"1029-1034","source":"Crossref","is-referenced-by-count":3,"title":["Early Warning Model of Wind Turbine Front Bearing Based on Conv1D and LSTM"],"prefix":"10.1109","author":[{"given":"Shihui","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yajie","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"114","author":"cheng","year":"2020","journal-title":"Ultrasonic inspection of the surface crack for the main shaft of a wind turbine from the end face[J]"},{"key":"ref11","first-page":"1058","article-title":"Fatigue Life of Main Shaft Bearing of Direct Drive Wind Turbine[J]","volume":"230?232","author":"li","year":"2011","journal-title":"Advanced Materials Research"},{"key":"ref12","article-title":"Fatigue life prediction for wind turbine main shaft bearings[C]","author":"yong","year":"2013","journal-title":"International Conference on Quality"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1784\/204764213808146626"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2018.2816738"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2018.08.048"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2019.06.103"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s40436-014-0061-6"},{"key":"ref18","article-title":"Fault detection of wind turbine main bearing based on deep learning network [J]","author":"hongshan","year":"2018","journal-title":"Journal of Solar Energy"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.apacoust.2013.08.020"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2017.11.007"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2015.11.032"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2021.03.078"},{"key":"ref3","first-page":"1041","article-title":"Review on fault diagnosis and prediction technology of wind turbine [J]","volume":"38","author":"xiaohang","year":"2017","journal-title":"Journal of Instrumentation"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.apacoust.2013.04.016"},{"key":"ref29","article-title":"Fault Diagnosis of Wind Turbine Generator Based on Deep Autoencoder Network and XGBoost[J]","author":"zhao","year":"2019","journal-title":"Automation of Electric Power Systems"},{"key":"ref5","article-title":"Fracture Mechanics Assessment of Large Diameter Wind Turbine Bearings[J]","author":"dagry","year":"2018","journal-title":"Journal of Multiscale Modelling"},{"key":"ref8","article-title":"Design of wind turbine fault detection system based on performance curve[C]","author":"kim","year":"2013","journal-title":"The 6th International Conference on Soft Computing and Intelligent Systems and the 13th International Symposium on Advanced Intelligence Systems"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"948","DOI":"10.4236\/eng.2013.512116","article-title":"Vibration Signals and Condition Monitoring for Wind Turbines[J]","volume":"5","author":"dimitrios","year":"2013","journal-title":"Engineering"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.engfailanal.2020.104885"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2021.04.019"},{"journal-title":"Wind power grid operation in the first half of 2020 [EB \/ OL]","year":"0","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/we.1508"},{"key":"ref22","first-page":"454","article-title":"Wind turbine fault warning based on multivariate state estimation and deviation degree [J]","volume":"36","author":"tao","year":"2016","journal-title":"Journal of Power Engineering"},{"key":"ref21","first-page":"44","article-title":"Research on Bi RNN based wind turbine main bearing temperature early warning method [J]","volume":"40","author":"shi","year":"2019","journal-title":"Journal of Zhengzhou University (Engineering Edition)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115211"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2021.109094"},{"key":"ref26","article-title":"A modified framework based on LSTM-FC for wind turbine health status prediction[C]\/\/","author":"shihui","year":"0","journal-title":"2020 6th International Conference on Big Data and Information Analytics (BigDIA)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2021.03.078"}],"event":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","start":{"date-parts":[[2021,12,13]]},"location":"Singapore, Singapore","end":{"date-parts":[[2021,12,16]]}},"container-title":["2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9672597\/9672598\/09672830.pdf?arnumber=9672830","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:57:27Z","timestamp":1652201847000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9672830\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,13]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/ieem50564.2021.9672830","relation":{},"subject":[],"published":{"date-parts":[[2021,12,13]]}}}