无损检测
信号处理
超声波传感器
信号(编程语言)
计算机科学
超声波检测
鉴定(生物学)
导波测试
情态动词
图像处理
点(几何)
声学
人工智能
电子工程
工程类
数字信号处理
材料科学
计算机硬件
图像(数学)
物理
植物
量子力学
高分子化学
生物
程序设计语言
几何学
数学
作者
Ana Rita Diogo,Bruno Moreira,C. Gouveia,João Manuel R. S. Tavares
出处
期刊:Metals
[MDPI AG]
日期:2022-05-29
卷期号:12 (6): 936-936
被引量:14
摘要
Ultrasonic guided wave testing (UGWT) is a non-destructive testing (NDT) technique commonly used in structural health monitoring to perform wide-range inspection from a single point, thus reducing the time and effort required for NDT. However, the multi-modal and dispersive nature of guided waves makes the extraction of essential information that leads to defect detection an extremely challenging task. The purpose of this article is to give an overview of signal processing techniques used for filtering signals, isolating modes and identifying and localising defects in UGWT. The techniques are summarised and grouped according to the geometry of the studied structures. Although the reviewed techniques have led to satisfactory results, the identification of defects through signal processing remains challenging with space for improvement, particularly by combining signal processing techniques and integrating machine learning algorithms.
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