超声波传感器
信号处理
稳健性(进化)
声学
信号(编程语言)
降噪
噪音(视频)
计算机科学
超声波检测
人工智能
电子工程
工程类
数字信号处理
物理
生物化学
化学
图像(数学)
基因
程序设计语言
作者
Bingyang Han,Chen Jiang,Akam M. Omer,Kamyar Othman Hamad,Tiantian Shao,He Li,Xia Ding,Hai Zhang,Junwei Fu,Jianqiao Meng,Yuxia Duan
标识
DOI:10.1016/j.ndteint.2024.103101
摘要
The utilization of air-coupled ultrasonic technology is crucial for examining objects that are challenging to establish contact with or cannot endure coupling. Nevertheless, air-coupled ultrasonic is susceptible to various factors such as impedance mismatch, sound wave attenuation, and environmental noise, consequently leading to a diminished signal-to-noise ratio of the received signal. This reduction in signal quality amplifies the complexity of analysis and imaging processes. In this study, a generic air-coupled ultrasonic signal processing and imaging procedure for ultrasonic inspection is proposed, which capitalizes on time-frequency analysis. This methodology attains a heightened level of stability and superior signal-to-noise ratio imaging through a series of procedural steps, encompassing feature extraction, denoising, and the reconstruction of the A-scan signals. The efficacy of the proposed approach is quantitatively assessed in terms of signal-to-noise ratio, probability of detection, robustness, and generality. This innovative method presents a newfangled resolution for automated air-coupled ultrasonic testing.
科研通智能强力驱动
Strongly Powered by AbleSci AI