Locating Damage in Thin Metallic Plates Using Lamb Waves and Artificial Neural Network

被引：0
|
作者：
Yelve, Nitesh P. [1 ]
Mulla, Irfan B. [1 ]
机构：
[1] Fr C Rodrigues Inst Technol, Dept Mech Engn, Navi Mumbai, Maharashtra, India
来源：
2017 INTERNATIONAL CONFERENCE ON NASCENT TECHNOLOGIES IN ENGINEERING (ICNTE-2017) | 2017年
关键词：
Lamb waves; Artificial Neural Network; Locating damage; IDENTIFICATION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper addresses experimental damage detection technique on an Aluminium plate (Al) using Lamb waves. Array of four Piezoelectric Wafer (PW) transducers are used to actuate and sense Lamb waves. These transducers are small in size and cost effective. The data received from the experiments at various sensor locations is processed to obtain Root Mean Square Deviation (RMSD) based Damage Index (DI). These DIs are further used in Artificial Neural Network (ANN) in order to locate a damage. ANN gives the location of blind damages with fair accuracy.
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页数：7
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