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Title: Real-Time Detection of In-flight Aircraft Damage

When there is damage to an aircraft, it is critical to be able to quickly detect and diagnose the problem so that the pilot can attempt to maintain control of the aircraft and land it safely. We develop methodology for real-time classification of flight trajectories to be able to distinguish between an undamaged aircraft and five different damage scenarios. Principal components analysis allows a lower-dimensional representation of multi-dimensional trajectory information in time. Random Forests provide a computationally efficient approach with sufficient accuracy to be able to detect and classify the different scenarios in real-time. We demonstrate our approach by classifying realizations of a 45 degree bank angle generated from the Generic Transport Model flight simulator in collaboration with NASA.
Authors:
 [1] ;  [2] ;  [3]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Univ. of California, Santa Cruz, CA (United States). Dept. of Applied Mathematics and Statistics
  3. NASA Ames Research Center (ARC), Moffett Field, Mountain View, CA (United States)
Publication Date:
Report Number(s):
LLNL-JRNL-680049
Journal ID: ISSN 0176-4268
Grant/Contract Number:
AC52-07NA27344
Type:
Accepted Manuscript
Journal Name:
Journal of Classification
Additional Journal Information:
Journal Volume: 34; Journal ID: ISSN 0176-4268
Research Org:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; 97 MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
OSTI Identifier:
1400079

Blair, Brenton, Lee, Herbert K. H., and Davies, Misty. Real-Time Detection of In-flight Aircraft Damage. United States: N. p., Web. doi:10.1007/s00357-017-9237-7.
Blair, Brenton, Lee, Herbert K. H., & Davies, Misty. Real-Time Detection of In-flight Aircraft Damage. United States. doi:10.1007/s00357-017-9237-7.
Blair, Brenton, Lee, Herbert K. H., and Davies, Misty. 2017. "Real-Time Detection of In-flight Aircraft Damage". United States. doi:10.1007/s00357-017-9237-7. https://www.osti.gov/servlets/purl/1400079.
@article{osti_1400079,
title = {Real-Time Detection of In-flight Aircraft Damage},
author = {Blair, Brenton and Lee, Herbert K. H. and Davies, Misty},
abstractNote = {When there is damage to an aircraft, it is critical to be able to quickly detect and diagnose the problem so that the pilot can attempt to maintain control of the aircraft and land it safely. We develop methodology for real-time classification of flight trajectories to be able to distinguish between an undamaged aircraft and five different damage scenarios. Principal components analysis allows a lower-dimensional representation of multi-dimensional trajectory information in time. Random Forests provide a computationally efficient approach with sufficient accuracy to be able to detect and classify the different scenarios in real-time. We demonstrate our approach by classifying realizations of a 45 degree bank angle generated from the Generic Transport Model flight simulator in collaboration with NASA.},
doi = {10.1007/s00357-017-9237-7},
journal = {Journal of Classification},
number = ,
volume = 34,
place = {United States},
year = {2017},
month = {10}
}

Works referenced in this record:

Random Forests
journal, January 2001