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文章基本信息

  • 标题:Diagnosis of Wing Icing Through Lift and Drag Coefficient Change Detection for Small
  • 本地全文:下载
  • 作者:Unmanned Aircraft ; Kim Lynge Sorensen ; Mogens Blanke
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:21
  • 页码:541-546
  • DOI:10.1016/j.ifacol.2015.09.582
  • 语种:English
  • 出版社:Elsevier
  • 摘要: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 identification of structural changes of fixed 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.
  • 关键词:Structural Change DetectionAircraft Ice accretionAircraft Icing DetectionUAVFixed-Wing UAVStatistical Change Detection
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