Experimental and Numerical Investigation of Acoustic Emission Source Localization Using an Enhanced Guided Wave Phased Array Method

相控阵 声发射 声学 传感器阵列 兰姆波 计算机科学 光学 物理 波传播 电信 机器学习 天线(收音机)
作者
Jiaying Sun,Zexing Yu,Chao Xu,Fei Du
出处
期刊:Sensors [Multidisciplinary Digital Publishing Institute]
卷期号:24 (17): 5806-5806
标识
DOI:10.3390/s24175806
摘要

To detect damage in mechanical structures, acoustic emission (AE) inspection is considered as a powerful tool. Generally, the classical acoustic emission detection method uses a sparse sensor array to identify damage and its location. It often depends on a pre-defined wave velocity and it is difficult to yield a high localization accuracy for complicated structures using this method. In this paper, the passive guided wave phased array method, a dense sensor array method, is studied, aiming to obtain better AE localization accuracy in aluminum thin plates. Specifically, the proposed method uses a cross-shaped phased array enhanced with four additional far-end sensors for AE source localization. The proposed two-step method first calculates the real-time velocity and the polar angle of the AE source using the phased array algorithm, and then solves the location of the AE source with the additional far-end sensor. Both numerical and physical experiments on an aluminum flat panel are carried out to validate the proposed method. It is found that using the cross-shaped guided wave phased array method with enhanced far-end sensors can localize the coordinates of the AE source accurately without knowing the wave velocity in advance. The proposed method is also extended to a stiffened thin-walled structure with high localization accuracy, which validates its AE source localization ability for complicated structures. Finally, the influences of cross-shaped phased array element number and the time window length on the proposed method are discussed in detail.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
淡然钢铁侠完成签到,获得积分10
1秒前
生信小迷弟完成签到,获得积分10
1秒前
霸气的小叮当完成签到,获得积分10
2秒前
想升博的kangkang完成签到,获得积分10
3秒前
4秒前
6秒前
橙子味完成签到,获得积分10
10秒前
英姑应助zzzz采纳,获得10
12秒前
17秒前
洛雒完成签到,获得积分10
19秒前
dou完成签到 ,获得积分10
25秒前
无花果应助欢喜的元蝶采纳,获得10
29秒前
烟花应助a海w采纳,获得10
29秒前
拉长的博超完成签到,获得积分10
31秒前
31秒前
大个应助嬴政飞采纳,获得10
33秒前
科研通AI6.1应助skevvecl采纳,获得30
36秒前
美好乐松发布了新的文献求助10
36秒前
37秒前
zhongli12发布了新的文献求助10
40秒前
42秒前
kiwi完成签到,获得积分10
44秒前
46秒前
wanci应助哎呀采纳,获得10
48秒前
zhongli12完成签到,获得积分10
50秒前
研友_VZG7GZ应助美好乐松采纳,获得10
51秒前
沉静的傲柏完成签到 ,获得积分10
51秒前
寻心发布了新的文献求助10
52秒前
52秒前
搞怪的金鑫完成签到,获得积分10
53秒前
Wu完成签到 ,获得积分10
53秒前
54秒前
奶思兔米鱿完成签到 ,获得积分10
55秒前
烟花应助悦耳的海燕采纳,获得10
57秒前
57秒前
FashionBoy应助动听的满天采纳,获得10
58秒前
酷波er应助zzzz采纳,获得10
58秒前
59秒前
Eylon发布了新的文献求助10
1分钟前
酷波er应助科研通管家采纳,获得10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Adverse weather effects on bus ridership 500
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6349916
求助须知:如何正确求助?哪些是违规求助? 8164753
关于积分的说明 17180024
捐赠科研通 5406247
什么是DOI,文献DOI怎么找? 2862418
邀请新用户注册赠送积分活动 1840069
关于科研通互助平台的介绍 1689294