亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Structural-damage localization using ultrasonic guided waves based on the lossless filtering method

超声波传感器 叠加原理 声学 无损压缩 滤波器(信号处理) 信号(编程语言) 平滑的 能量(信号处理) 傅里叶变换 计算机科学 噪音(视频) 算法 数学 人工智能 物理 计算机视觉 数学分析 统计 数据压缩 图像(数学) 程序设计语言
作者
Geolei Zheng,Weigao Zhao,Yimei Tian,Chuntong Liu,Bo Zheng
出处
期刊:Smart Materials and Structures [IOP Publishing]
卷期号:29 (7): 075024-075024 被引量:4
标识
DOI:10.1088/1361-665x/ab8b2f
摘要

Ultrasonic guided waves have been widely used for structural-damage localization in recent decades, whose effectiveness depends on whether the damage on a structure reflects a wave pulse. The basic principle can be described as follows: the ratio between the times of flight (TOFs) of the excitation and damage signals is equal to that between their distances of flight. Because a number of disturbing factors occurred during the data-acquisition process, a large number of noise signals present in the experiment could cause a low signal-to-noise ratio (SNR). In addition, whereas the traditional filtering methods improved the SNR, the effective signals were weakened. To deal with this situation, an ultrasonic lossless filtering method based on the multi-coverage technique applied to a blasting seismic wave and the superposition technique to ultrasonic guided wave was first proposed to enhance the SNR. Compared with the traditional filtering techniques, the proposed method achieves better performance in that the effective signal remains unaltered and the noise level is reduced. The Wigner–Ville distribution (WVD) method, which could reflect the true energy distribution within the time and frequency domains, was applied to calculate the TOF of the signals. Finally, the damage localization of the structure was realized according to the abovementioned principle. Compared with the location result without a filter, the maximum WVD value becomes more perceivable, and the positioning accuracy is clearly improved. Compared with the location results using the Fourier and polynomial-smoothing filtering methods, the lossless filtering method allows an effective signal to remain unaltered. Finally, we can conclude that the proposed ultrasonic lossless filtering method can improve the SNR under the condition in which the effective signal remains unaltered, and the SNRs become higher and higher with the increase of superimposition times. The combination of ultrasonic lossless filtering method and the WVD method can perfectly realize the damage location with a high accuracy. Several damage-localization experiments demonstrate that the ultrasonic lossless filtering method is reliable.

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
研友_VZG7GZ应助darcyz采纳,获得10
2秒前
深情安青应助darcyz采纳,获得10
2秒前
catherine发布了新的文献求助10
3秒前
6秒前
山君卓发布了新的文献求助10
6秒前
Orange应助lion采纳,获得10
8秒前
CC发布了新的文献求助10
11秒前
可爱的函函应助单薄丹雪采纳,获得50
11秒前
嘉人完成签到 ,获得积分10
17秒前
CC完成签到,获得积分10
17秒前
pppcpppdpppy完成签到,获得积分10
19秒前
汉堡包应助ljq采纳,获得10
22秒前
薛建伟完成签到 ,获得积分10
25秒前
英姑应助愉快宛凝采纳,获得10
31秒前
38秒前
111111111完成签到,获得积分10
43秒前
46秒前
完美世界应助fan采纳,获得10
51秒前
59秒前
fan发布了新的文献求助10
1分钟前
彭于晏应助一颗石头鱼采纳,获得20
1分钟前
Jomain完成签到,获得积分10
1分钟前
冷静新烟完成签到,获得积分20
1分钟前
1分钟前
小池完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
lion发布了新的文献求助10
1分钟前
ljq发布了新的文献求助10
1分钟前
1分钟前
wf完成签到,获得积分10
1分钟前
lion完成签到,获得积分10
1分钟前
lin完成签到 ,获得积分10
1分钟前
所所应助科研通管家采纳,获得10
1分钟前
上官若男应助科研通管家采纳,获得10
1分钟前
NexusExplorer应助科研通管家采纳,获得10
1分钟前
1分钟前
ljq完成签到,获得积分20
1分钟前
缥缈以珊发布了新的文献求助10
1分钟前
shentaii完成签到,获得积分0
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
Psychopathic Traits and Quality of Prison Life 1000
Development Across Adulthood 1000
Chemistry and Physics of Carbon Volume 18 800
The formation of Australian attitudes towards China, 1918-1941 660
Signals, Systems, and Signal Processing 610
天津市智库成果选编 600
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 6451074
求助须知:如何正确求助?哪些是违规求助? 8263066
关于积分的说明 17605673
捐赠科研通 5515795
什么是DOI,文献DOI怎么找? 2903539
邀请新用户注册赠送积分活动 1880563
关于科研通互助平台的介绍 1722570