Impact detection in an aircraft composite panel - A neural-network approach

被引：98

作者：

LeClerc, J. R. ^{[1
]}

Worden, K. ^{[1
]}

Staszewski, W. J. ^{[1
]}

Haywood, J. ^{[1
]}

机构：

[1] Univ Sheffield, Dept Mech Engn, Sheffield S1 3JD, S Yorkshire, England

来源：

JOURNAL OF SOUND AND VIBRATION | 2007年 / 299卷 / 03期

关键词：

Composite materials - Neural networks - Regression analysis - Structural design - Structural panels;

D O I：

10.1016/j.jsv.2006.07.019

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

This paper presents the latest results from a programme of work aiming to design impact detectors for structures. The results are from an aircraft component which is substantially more complex than the structures previously investigated by the authors. The paper also illustrates three different approaches to the impact location problem, namely, regression, classification and a combination of both. (c) 2006 Published by Elsevier Ltd.

引用

页码：672 / 682

页数：11