基于幅值分布相关因子的无损检测波束形成算法

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Peng Wang;Kunlin Wang;Qianwen Li;Lin Tong;Yue Shen;Sirui Chen;Jue Wang;Ping Wang
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引用次数: 0

摘要

在无损检测超声成像中,b型超声线扫描聚焦成像具有速度快、能量集中等优点,但其成像质量经常受到杂波干扰的影响。针对杂波干扰问题,提出了一种基于瞬时振幅分布相关因子(瞬时振幅分布相关因子,DCF)的b型超声线扫描聚焦无损检测成像自适应波束形成算法。DCF算法利用背景和缺陷区域之间瞬时振幅分布的差异,利用回波数据的距离和标准差的乘积的倒数来识别缺陷部分。随后,利用计算得到的DCF加权因子对背景进行抑制,并利用瞬时符号相干因子(SCF)对这些因子进行进一步细化,以保持主瓣的幅度。实验结果表明,与延迟求和(DAS)算法相比,DCF算法在20#规范钢测试块中阵列性能指数(API)和对比度(CR)分别提高了83.08%和223.85%,在铝测试块中分别提高了59.82%和201.15%,在焊缝缺陷检测块中分别提高了74.52%和120.68%。本文提出的DCF算法以非常低的算法复杂度增加为代价,实现了无损检测超声成像质量的显著提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NDT Beamforming Algorithm Based on Amplitude Distribution Correlation Factor
In nondestructive testing ultrasound imaging, B-mode ultrasound line-scan focusing imaging offers the advantages of speed and concentrated energy, but its imaging quality is often compromised by clutter interference. To tackle the problem of clutter interference, this article proposes an adaptive beamforming algorithm based on instantaneous amplitude distribution correlation factor (DCF) for B-mode ultrasound line-scan focusing nondestructive testing imaging. Leveraging the differences in the distribution of instantaneous amplitudes between the background and defective regions, the DCF algorithm identifies the defective part by utilizing the inverse of the product of the range and standard deviation of the echo data. Subsequently, the background is suppressed using the calculated DCF weighting factors, and these factors are further refined by instantaneous sign coherence factor (SCF) to preserve the amplitude of the main lobe. Experimental results indicate that, compared to the delay-and-sum (DAS) algorithm, the DCF algorithm enhances the array performance index (API) and contrast ratio (CR) by 83.08% and 223.85%, respectively, in the 20# gauge steel test block, by 59.82% and 201.15%, respectively, in an aluminum test block, and by 74.52% and 120.68%, respectively, in a weld defect detection block. The DCF algorithm proposed in this article achieves a significant improvement in the quality of ultrasound imaging for nondestructive testing at the cost of a very low increase in algorithm complexity.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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