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Comparison of Time Domain and Frequency-Wavenumber Domain Ultrasonic Array Imaging Algorithms for Non-Destructive Evaluation
文献类型:期刊论文
作者 | Zeyu Zhuang; Jie Zhang; Guoxuan Lian; Bruce W. Drinkwater |
刊名 | Sensors
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出版日期 | 2020 |
期号 | 17页码:4951 |
ISSN号 | 1424-8220 |
DOI | 10.3390/s20174951 |
英文摘要 | Ultrasonic array imaging algorithms have been widely developed and used for non-destructive evaluation (NDE) in the last two decades. In this paper two widely used time domain algorithms are compared with two emerging frequency domain algorithms in terms of imaging performance and computational speed. The time domain algorithms explored here are the total focusing method (TFM) and plane wave imaging (PWI) and the frequency domain algorithms are the wavenumber algorithm and Lu’s frequency-wavenumber domain implementation of PWI. In order to make a fair comparison, each algorithm was first investigated to choose imaging parameters leading to overall good imaging resolution and signal-to-noise-ratio. To reflect the diversity of samples encountered in NDE, the comparison is made using both a low noise material (aluminium) and a high noise material (copper). It is shown that whilst wavenumber and frequency domain PWI imaging algorithms can lead to fast imaging, they require careful selection of imaging parameters. |
URL标识 | 查看原文 |
源URL | [http://159.226.59.140/handle/311008/9690] ![]() |
专题 | 历年期刊论文_2020年期刊论文 |
作者单位 | 中国科学院声学研究所 |
推荐引用方式 GB/T 7714 | Zeyu Zhuang; Jie Zhang; Guoxuan Lian; Bruce W. Drinkwater. Comparison of Time Domain and Frequency-Wavenumber Domain Ultrasonic Array Imaging Algorithms for Non-Destructive Evaluation[J]. Sensors,2020(17):4951. |
APA | Zeyu Zhuang; Jie Zhang; Guoxuan Lian; Bruce W. Drinkwater.(2020).Comparison of Time Domain and Frequency-Wavenumber Domain Ultrasonic Array Imaging Algorithms for Non-Destructive Evaluation.Sensors(17),4951. |
MLA | Zeyu Zhuang; Jie Zhang; Guoxuan Lian; Bruce W. Drinkwater."Comparison of Time Domain and Frequency-Wavenumber Domain Ultrasonic Array Imaging Algorithms for Non-Destructive Evaluation".Sensors .17(2020):4951. |
入库方式: OAI收割
来源:声学研究所
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