基于超分辨率超声图像的缺陷量化方法

TG115.28+5; 以相位相干多信号分类(phase-coherent multiple signal classification,PC-MUSIC)方法为例,研究基于超分辨率超声图像的缺陷量化方法.利用全矩阵采集方法从被测对象获取超声阵列数据,对数据进行时域预处理,提取缺陷散射信号;利用PC-MUSIC方法处理缺陷散射信号,获取超分辨率超声图像;分析超声图像特征,提取横向强度曲线,定义-6 dB主瓣宽度作为缺陷的评估长度.搭建实验系统,选择铝试块作为被测对象,在其内部加工1个长度为10 mm的刻槽作为缺陷.实验结果表明,在信号子空间维度选择合适的情况下,PC-MUSIC方法能够准确评估...

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Published in国防科技大学学报 Vol. 44; no. 5; pp. 187 - 192
Main Authors 樊程广, 余孙全, 高斌, 杨磊
Format Journal Article
LanguageChinese
Published 国防科技大学空天科学学院,湖南长沙 410073 01.10.2022
Subjects
缺陷量化
超声图像
超分辨率
无损检测
Online AccessGet full text
ISSN1001-2486
DOI10.11887/j.cn.202205020

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Abstract TG115.28+5; 以相位相干多信号分类(phase-coherent multiple signal classification,PC-MUSIC)方法为例,研究基于超分辨率超声图像的缺陷量化方法.利用全矩阵采集方法从被测对象获取超声阵列数据,对数据进行时域预处理,提取缺陷散射信号;利用PC-MUSIC方法处理缺陷散射信号,获取超分辨率超声图像;分析超声图像特征,提取横向强度曲线,定义-6 dB主瓣宽度作为缺陷的评估长度.搭建实验系统,选择铝试块作为被测对象,在其内部加工1个长度为10 mm的刻槽作为缺陷.实验结果表明,在信号子空间维度选择合适的情况下,PC-MUSIC方法能够准确评估缺陷长度,误差在10％以内.
AbstractList TG115.28+5; 以相位相干多信号分类(phase-coherent multiple signal classification,PC-MUSIC)方法为例,研究基于超分辨率超声图像的缺陷量化方法.利用全矩阵采集方法从被测对象获取超声阵列数据,对数据进行时域预处理,提取缺陷散射信号;利用PC-MUSIC方法处理缺陷散射信号,获取超分辨率超声图像;分析超声图像特征,提取横向强度曲线,定义-6 dB主瓣宽度作为缺陷的评估长度.搭建实验系统,选择铝试块作为被测对象,在其内部加工1个长度为10 mm的刻槽作为缺陷.实验结果表明,在信号子空间维度选择合适的情况下,PC-MUSIC方法能够准确评估缺陷长度,误差在10％以内.
Author 樊程广
余孙全
杨磊
高斌
AuthorAffiliation 国防科技大学空天科学学院,湖南长沙 410073
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YANG Lei
FAN Chengguang
YU Sunquan
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Keywords 缺陷量化
超声图像
超分辨率
无损检测
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