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Proceedings Paper

Intelligent aircraft structures: a technique to verify sensor integrity
Author(s): Peter D. Dean
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Paper Abstract

This paper describes the experimental verification of a technique to ensure that the raw sensor data base meets integrity confidence levels required for initiating critical operating decisions associated with aircraft structures. Neural Network techniques are used to characterize the spectral response of sensor arrays to known sensor faults, thus discriminating between structural and sensor anomalies.

Paper Details

Date Published: 13 September 1994
PDF: 4 pages
Proc. SPIE 2361, Second European Conference on Smart Structures and Materials, (13 September 1994); doi: 10.1117/12.184792
Show Author Affiliations
Peter D. Dean, Lockheed Missiles & Space Co., Inc. (United States)


Published in SPIE Proceedings Vol. 2361:
Second European Conference on Smart Structures and Materials
Alaster McDonach; Peter T. Gardiner; Ron S. McEwen; Brian Culshaw, Editor(s)

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