dc.contributor.author | Sørensen, Kim Lynge | |
dc.contributor.author | Blanke, Mogens | |
dc.contributor.author | Johansen, Tor Arne | |
dc.date.accessioned | 2015-11-12T10:37:17Z | |
dc.date.accessioned | 2016-01-07T13:58:36Z | |
dc.date.available | 2015-11-12T10:37:17Z | |
dc.date.available | 2016-01-07T13:58:36Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | IFAC-PapersOnLine 2015, 48(21):732-739 | nb_NO |
dc.identifier.issn | 2405-8963 | |
dc.identifier.uri | http://hdl.handle.net/11250/2372873 | |
dc.description.abstract | This paper address the issue of structural change, caused by ice accretion, on
UAVs by utilising a Neyman Pearson (NP) based statistical change detection approach, for
the identi cation of structural changes of xed wing UAV airfoils. A structural analysis is
performed on the nonlinear aircraft system and residuals are generated, where a generalised
likelihood ratio test is applied to detect faults. Numerical simulations demonstrate a robust
detection with adequate balance between false alarm rate and sensitivity. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Elsevier | nb_NO |
dc.title | Diagnosis of Wing Icing Through Lift and Drag Coefficient Change Detection for Small Unmanned Aircraft | nb_NO |
dc.type | Journal article | nb_NO |
dc.date.updated | 2015-11-12T10:37:17Z | |
dc.source.volume | 48 | nb_NO |
dc.source.journal | IFAC-PapersOnLine | nb_NO |
dc.source.issue | 21 | nb_NO |
dc.identifier.doi | 10.1016/j.ifacol.2015.09.582 | |
dc.identifier.cristin | 1288373 | |
dc.description.localcode | © 2015 Published by Elsevier Ltd. This is the authors' accepted and refereed manuscript to the article. Locked until 2017-01-01. | nb_NO |