Ultrasound Array Probe: Signal Processing in Case of Structural Noise

P. Nicolas, K. Paul, Ferre Antoine, S. Andreas, Lhuillier Pierre-Emile
{"title":"Ultrasound Array Probe: Signal Processing in Case of Structural Noise","authors":"P. Nicolas, K. Paul, Ferre Antoine, S. Andreas, Lhuillier Pierre-Emile","doi":"10.1115/1.4048583","DOIUrl":null,"url":null,"abstract":"\n This work focuses on non-destructive examinations using array probe ultrasonic waves on complex materials generating a high structural noise on the examined area. During an ultrasonic examination, multiple scattering of the ultrasonic waves at the grain boundaries makes the distinction between this structurally induced noise and a potential defect challenging. The difficulty of the interpretation can moreover be increased in the near surface area because of the subsurface wave. In order to ease the analysis of these acquisitions, some numerical processing methods are proposed. Statistical properties of the imaging results (for instance, total focusing method or plane wave imaging) are first calculated on several sensor positions. These statistical properties are then used to post-process the imaging results and enhance any signal values that do not belong to the structural noise expected statistics. The method, called “CORUS,” has been successfully tested on cast austenoferritic stainless steel coarse-grained mock-ups, with several dB gain compared to the classical total focusing method. It is now integrated in a civa software plugin and in a prototype version of the real-time PANTHER-phased-array acquisition system from Eddyfi Technologies.","PeriodicalId":52294,"journal":{"name":"Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems","volume":"1 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/1.4048583","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

This work focuses on non-destructive examinations using array probe ultrasonic waves on complex materials generating a high structural noise on the examined area. During an ultrasonic examination, multiple scattering of the ultrasonic waves at the grain boundaries makes the distinction between this structurally induced noise and a potential defect challenging. The difficulty of the interpretation can moreover be increased in the near surface area because of the subsurface wave. In order to ease the analysis of these acquisitions, some numerical processing methods are proposed. Statistical properties of the imaging results (for instance, total focusing method or plane wave imaging) are first calculated on several sensor positions. These statistical properties are then used to post-process the imaging results and enhance any signal values that do not belong to the structural noise expected statistics. The method, called “CORUS,” has been successfully tested on cast austenoferritic stainless steel coarse-grained mock-ups, with several dB gain compared to the classical total focusing method. It is now integrated in a civa software plugin and in a prototype version of the real-time PANTHER-phased-array acquisition system from Eddyfi Technologies.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
超声阵列探头:结构噪声情况下的信号处理
这项工作的重点是利用阵列探头超声波对复杂材料进行无损检测,在检测区域产生高结构噪声。在超声检测过程中,超声波在晶界处的多次散射使得区分这种结构诱导噪声和潜在缺陷具有挑战性。此外,由于地下波的存在,近地表区域的解释难度也会增加。为了便于分析这些数据,提出了一些数值处理方法。成像结果的统计特性(例如,全聚焦法或平面波成像)首先在几个传感器位置上计算。然后使用这些统计特性对成像结果进行后处理,并增强不属于结构噪声预期统计的任何信号值。这种被称为“CORUS”的方法已经成功地在奥氏体铁素体粗粒度铸件模型上进行了测试,与经典的全聚焦方法相比,其增益达到了几个dB。它现在集成在civa软件插件和Eddyfi技术公司的实时panther相控阵采集系统的原型版本中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.80
自引率
9.10%
发文量
25
期刊最新文献
Enhancement of Contact Acoustic Nonlinearity Effect in a Concrete Beam using Ambient Vibrations Identification of spalling fault size of ball bearing based on modified energy value Deep Learning based Time-Series Classification for Robotic Inspection of Pipe Condition using Non-Contact Ultrasonic Testing AI-enabled crack-length estimation from acoustic emission signal signatures Longitudinal wave propagation in an elastic cylinder embedded in a viscoelastic fluid
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1