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Development of a parametric-based indirect aircraft structural usage monitoring system using artificial neural networks

Published online by Cambridge University Press:  03 February 2016

S. C. Reed
S. C. Reed*
Affiliation:
Airworthiness and Structural Integrity Group QinetiQ, Farnborough, UK
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Abstract

The development of a parametric-based indirect aircraft structural usage monitoring system using artificial neural networks is described. Flight parametric data, captured during Operational Loads Measurement have been used to predict strains or stresses at key structural locations for several military aircraft types, using mapping relationships determined by artificial neural networks. A framework for the development of a neural network-based structural usage monitor is discussed and the basic architecture of the multilayer perceptron artificial neural network is described. Additionally, results from case studies are presented. It is concluded that this technology could provide the basis for accurate, cost-effective structural usage monitoring systems across the range of military aircraft types and roles.

Information

Type
Research Article
Information
The Aeronautical Journal , Volume 111 , Issue 1118 , April 2007 , pp. 209 - 230
Copyright
Copyright © Royal Aeronautical Society 2007 

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