{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T21:36:42Z","timestamp":1774733802775,"version":"3.50.1"},"reference-count":10,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,9]]},"DOI":"10.1109\/iceee.2018.8533924","type":"proceedings-article","created":{"date-parts":[[2018,12,4]],"date-time":"2018-12-04T00:19:21Z","timestamp":1543882761000},"page":"1-5","source":"Crossref","is-referenced-by-count":29,"title":["A New Vision-Based Method Using Deep Learning for Damage Inspection in Wind Turbine Blades"],"prefix":"10.1109","author":[{"given":"Sahir","family":"Moreno","sequence":"first","affiliation":[]},{"given":"Miguel","family":"Pena","sequence":"additional","affiliation":[]},{"given":"Alexia","family":"Toledo","sequence":"additional","affiliation":[]},{"given":"Ricardo","family":"Trevino","sequence":"additional","affiliation":[]},{"given":"Hiram","family":"Ponce","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2018.01.047"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2018.05.071"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.07.001"},{"key":"ref6","first-page":"107","volume":"116","author":"dao","year":"2018","journal-title":"Condition monitoring and fault detection in wind turbines based on cointegration analysis of SCADA data Renewable Energy"},{"key":"ref5","first-page":"225","article-title":"Continuous line laser thermography for damage imaging of rotating wind turbine blades","volume":"188","author":"soonkyu","year":"2017","journal-title":"Artificial Intelligence"},{"key":"ref8","first-page":"2545","article-title":"Wind turbine blade damage detection via 3-dimensional phase-based motion estimation","author":"saffari","year":"2017","journal-title":"11th International Workshop on Structural Health Monitoring Stanford University United States"},{"key":"ref7","first-page":"258","volume":"87","author":"clark","year":"2017","journal-title":"Autonomous and scalable control for remote inspection with multiple aerial vehicles Robotics and Autonomous Systems"},{"key":"ref2","first-page":"725","author":"tong","year":"2010","journal-title":"Wind Power Generation and Wind Turbine Design"},{"key":"ref9","first-page":"1","article-title":"Recent advances in convolutional neural networks","volume":"2017","author":"gu","year":"2017","journal-title":"Pattern Recognition"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.erss.2017.10.035"}],"event":{"name":"2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","location":"Mexico City","start":{"date-parts":[[2018,9,5]]},"end":{"date-parts":[[2018,9,7]]}},"container-title":["2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8500731\/8533873\/08533924.pdf?arnumber=8533924","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,24]],"date-time":"2020-08-24T03:13:49Z","timestamp":1598238829000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8533924\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/iceee.2018.8533924","relation":{},"subject":[],"published":{"date-parts":[[2018,9]]}}}