skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

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

Abstract

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:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1400079
Report Number(s):
LLNL-JRNL-680049
Journal ID: ISSN 0176-4268
Grant/Contract Number:  
AC52-07NA27344
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of Classification
Additional Journal Information:
Journal Volume: 34; Journal ID: ISSN 0176-4268
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; 97 MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE

Citation Formats

Blair, Brenton, Lee, Herbert K. H., and Davies, Misty. Real-Time Detection of In-flight Aircraft Damage. United States: N. p., 2017. 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. Mon . "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},
issn = {0176-4268},
number = ,
volume = 34,
place = {United States},
year = {2017},
month = {10}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Save / Share:

Works referenced in this record:

Airborne Subscale Transport Aircraft Research Testbed - Aircraft Model Development
conference, June 2012

  • Jordan, Thomas; Langford, William; Hill, Jeffrey
  • AIAA Guidance, Navigation, and Control Conference and Exhibit
  • DOI: 10.2514/6.2005-6432

Automatically finding the control variables for complex system behavior
journal, May 2010


Random Forests
journal, January 2001


AirSTAR: A UAV Platform for Flight Dynamics and Control System Testing
conference, June 2012

  • Jordan, Thomas; Foster, John; Bailey, Roger
  • 25th AIAA Aerodynamic Measurement Technology and Ground Testing Conference
  • DOI: 10.2514/6.2006-3307

How past loss of control accidents may inform safety cases for advanced control systems on commercial aircraft
conference, January 2008

  • Holloway, C. M.; Johnson, C. W.
  • 3rd IET International Conference on System Safety 2008
  • DOI: 10.1049/cp:20080732

Testing of Immunity-Based Failure Detection and Identification Scheme with the NASA Generic Transport Model
conference, June 2012

  • Perhinschi, Mario; Moncayo, Hever; Wilburn, Brenton
  • AIAA Guidance, Navigation, and Control Conference
  • DOI: 10.2514/6.2011-6559