{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T21:50:39Z","timestamp":1781733039574,"version":"3.54.5"},"reference-count":28,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2017,9,1]],"date-time":"2017-09-01T00:00:00Z","timestamp":1504224000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"CityU Strategic Research","award":["7004700"],"award-info":[{"award-number":["7004700"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Electron."],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1109\/tie.2017.2682037","type":"journal-article","created":{"date-parts":[[2017,3,15]],"date-time":"2017-03-15T05:03:41Z","timestamp":1489554221000},"page":"7293-7303","source":"Crossref","is-referenced-by-count":265,"title":["Automatic Detection of Wind Turbine Blade Surface Cracks Based on UAV-Taken Images"],"prefix":"10.1109","volume":"64","author":[{"given":"Long","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zijun","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1117\/12.388093"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/en9010040"},{"key":"ref12","first-page":"7","article-title":"Ultrasonic NDT of wind turbine blades using guided waves","volume":"63","author":"rai\u0161utis","year":"2008","journal-title":"Ultragarsas"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1784\/insi.2009.51.9.477"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1117\/12.715800"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2014.11.030"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2013.07.023"},{"key":"ref17","article-title":"Cyberhawk launches commercial ROAV wind turbine inspection service | Cyberhawk remote aerial inspections and surveys","year":"2016"},{"key":"ref18","first-page":"568","article-title":"A new image-based method for concrete bridge bottom crack detection","author":"tong","year":"0","journal-title":"Proc Int Conf Image Anal Process"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0887-3801(2006)20:3(210)"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1007\/978-3-540-45243-0_39","article-title":"Empirical analysis of detection cascades of boosted classifiers for rapid object detection","author":"lienhart","year":"2003","journal-title":"Pattern Recognition"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"2595","DOI":"10.3390\/en7042595","article-title":"Wind turbine condition monitoring: State-of-the-art review, new trends, and future challenges","volume":"7","author":"tchakoua","year":"2014","journal-title":"Energies"},{"key":"ref27","article-title":"Image processing, analysis, and machine vision","author":"sonka","year":"2007"},{"key":"ref3","first-page":"26","article-title":"The review of non-destructive testing techniques suitable for inspection of the wind turbine blades","volume":"63","author":"rai\u0161utis","year":"2008","journal-title":"Ultragarsas&#x201D; Ultrasound"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2621135"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2015.2422112"},{"key":"ref8","first-page":"59","article-title":"Acoustic emission evaluation of composite wind turbine blades during fatigue testing","volume":"2","author":"wei","year":"1997","journal-title":"NDT E Int"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1088\/0964-1726\/24\/3\/033001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2012.03.003"},{"key":"ref9","first-page":"229","article-title":"Structural integrity evaluation of wind turbine blades using pattern recognition analysis on acoustic emission data","volume":"20","author":"anastassopoulos","year":"2003","journal-title":"J Acoust Emission"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TEC.2006.889614"},{"key":"ref20","first-page":"1875","article-title":"An efficient crack detection method using percolation-based image processing","author":"yamaguchi","year":"0","journal-title":"Proc 3rd IEEE Conf Ind Electron Appl"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2002.1038171"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2001.990517"},{"key":"ref24","author":"breiman","year":"1984","journal-title":"Classification and Regression Trees"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1016218223"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"}],"container-title":["IEEE Transactions on Industrial Electronics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/41\/8006337\/07878566.pdf?arnumber=7878566","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:04:08Z","timestamp":1642003448000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7878566\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9]]},"references-count":28,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tie.2017.2682037","relation":{},"ISSN":["0278-0046","1557-9948"],"issn-type":[{"value":"0278-0046","type":"print"},{"value":"1557-9948","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,9]]}}}