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

被引：0

作者：

Reed, S.C. ^{[1
]}

机构：

[1] Airworthiness and Structural Integrity Group, QinetiQ, Farnborough, United Kingdom

来源：

Aeronautical Journal | 2007年 / 111卷 / 1118期

关键词：

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;

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中图分类号：

学科分类号：

摘要：

Journal article (JA)

引用

页码：209 / 230

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