分形理论在近表面缺陷超声A扫检测中的应用

doi:10.11772/j.issn.1001-9081.2014.11.3365

计算机应用 ›› 2014, Vol. 34 ›› Issue (11): 3365-3368.DOI: 10.11772/j.issn.1001-9081.2014.11.3365

• 行业与领域应用 • 上一篇

分形理论在近表面缺陷超声A扫检测中的应用

陈世利,黄玉秋,张慧,杨晓霞,郭薇

精密测试技术及仪器国家重点实验室(天津大学),天津 300072

收稿日期:2014-05-29 修回日期:2014-07-01 发布日期:2014-12-01 出版日期:2014-11-01
通讯作者: 陈世利
作者简介:
陈世利(1973-),男,湖北鄂州人,副教授,博士,主要研究方向:石油储运安全、智能传感器、超声无损检测;黄玉秋(1988-),女(壮族),广西钦州人,硕士研究生,主要研究方向:超声无损检测;张慧(1975-),女,吉林临江人,副教授,博士,主要研究方向: 岛型振动膜电容式微超声传感器、无损检测;杨晓霞(1986-),女,河北衡水人,博士研究生,主要研究方向:超声无损检测;郭薇(1989-),女,山西忻州人,硕士研究生,主要研究方向:碳纤维复合材料检测。
基金资助:
国家自然科学基金资助项目

Application of fractal theory on identification of near-surface defects in

CHEN Shili,HUANG Yuqiu,ZHANG Hui,YANG Xiaoxia,GUO Wei

State Key Laboratory of Precision Measurement Technology and Instrument (Tianjin University), Tianjin 300072, China

Received:2014-05-29 Revised:2014-07-01 Online:2014-12-01 Published:2014-11-01
Contact: CHEN Shili
Supported by:
A study on capacitive micromachined ultrasonic transducer with

摘要/Abstract

摘要：

针对超声相控阵无损检测(NDT)中近表面缺陷识别困难的问题,提出一种基于分形理论的近表面缺陷智能识别方法。运用基于线性插值的盒计数维数算法,计算140组超声A扫(A-Scan)信号的盒计数维数,并运用统计的方法详细分析其分布情况。实验结果表明超声A-scan信号具有分形特性,分形理论可应用于A-Scan信号分析;而且有无缺陷信号的盒维数分布区间差异明显,盒维数可作为A-Scan信号的特征识别近表面缺陷。在超声相控阵自动化检测中,运用分形理论能提高近表面缺陷的检出率，减少人为因素引起的漏检。

Abstract:

The near-surface defects are hard to identify in ultrasonic phased array Non-Destructive Testing (NDT), thus a new intelligent identification method based on fractal theory was proposed to solve this problem. A box-counting dimension algorithm based on linear interpolation was described to calculate the box-counting dimension of 140 groups of ultrasonic A-Scan time domain signals. Then the distribution of box-counting dimension was analyzed using the statistical method. The experimental results show that ultrasonic A-Scan signal is obviously fractal and it is effective to analyze the A-Scan signal with the fractal approach. This method has the potential to identify near-surface defects since the values of the box counting dimension of defective signals are different from those of defective signals. As a result, the detection rate of near-surface defects can be improved and the omission rate caused by man-made factors can be reduced in ultrasonic phased array automatic testing.

中图分类号:

TP391

陈世利黄玉秋张慧杨晓霞郭薇. 分形理论在近表面缺陷超声A扫检测中的应用[J]. 计算机应用, 2014, 34(11): 3365-3368.

CHEN Shili HUANG Yuqiu ZHANG Hui YANG Xiaoxia GUO Wei. Application of fractal theory on identification of near-surface defects in[J]. Journal of Computer Applications, 2014, 34(11): 3365-3368.

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分形理论在近表面缺陷超声A扫检测中的应用

Application of fractal theory on identification of near-surface defects in

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