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Structured non-self approach for aircraft failure identification within a fault tolerance architecture

Published online by Cambridge University Press:  23 March 2016

H. Moncayo ,
I. Moguel ,
M.G. Perhinschi ,
A. Perez ,
D. Al Azzawi  and
A. Togayev
H. Moncayo*
Affiliation:
Department of Aerospace Engineering, Embry-Riddle Aeronautical University, Daytona Beach, Florida, US
I. Moguel
Affiliation:
Department of Aerospace Engineering, Embry-Riddle Aeronautical University, Daytona Beach, Florida, US
M.G. Perhinschi
Affiliation:
Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, West Virginia, US
A. Perez
Affiliation:
Department of Aerospace Engineering, Embry-Riddle Aeronautical University, Daytona Beach, Florida, US
D. Al Azzawi
Affiliation:
Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, West Virginia, US
A. Togayev
Affiliation:
Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, West Virginia, US
*
moncayoh@erau.edu
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Abstract

Within an immunity-based architecture for aircraft fault detection, identification and evaluation, a structured, non-self approach has been designed and implemented to classify and quantify the type and severity of different aircraft actuators, sensors, structural components and engine failures. The methodology relies on a hierarchical multi-self strategy with heuristic selection of sub-selves and formulation of a mapping logic algorithm, in which specific detectors of specific selves are mapped against failures based on their capability to selectively capture the dynamic fingerprint of abnormal conditions in all their aspects. Immune negative and positive selection mechanisms have been used within the process. Data from a motion-based six-degrees-of-freedom flight simulator were used to evaluate the performance in terms of percentage identification rates for a set of 2D non-self projections under several upset conditions.

Type
Research Article
Information
The Aeronautical Journal , Volume 120 , Issue 1225 , March 2016 , pp. 415 - 434
Copyright
Copyright © Royal Aeronautical Society 2016 

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