Corrosion mapping of the surface of metal plates using FMCW radar

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Ercan Menguc , Atalay Kocakusak , Emin Sapmaz , Gulluhan Irmak , Selcuk Helhel
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引用次数: 0

Abstract

Radar systems calculate detection and range by comparing transmitted and received signals. Frequency-modulated continuous wave radars (FMCW) rely on measuring the phase difference between the transmitted and received signals. The received signals provide valuable information, including distance, speed, and target characteristics. This study aims to create a corrosion map of metal plates using image processing techniques on collected FMCW records, representing a form of non-destructive testing (NDT) that evaluates the characteristics or structural integrity of materials, components, or systems without causing damage. After gathering the beat frequency associated with the target, initial data preprocessing is performed to generate data matrices, followed by image processing techniques for secondary mapping. The data dimensions required to construct an image are approximately 466,854 pixels. The beat frequency, or phase shift, varies at that frequency for both the foreground and background while adaptive windowing and thresholding are applied to the initial frames. Various image segmentation techniques are also utilized on the reconstructed image to validate the results visually. The analysis indicated that the histogram similarity and Euclidean distance were 0.80 and 0.63, respectively, compared to the optically taken photo.
用FMCW雷达绘制金属板表面腐蚀图
雷达系统通过比较发射和接收的信号来计算探测和距离。调频连续波雷达(FMCW)依靠测量发射和接收信号之间的相位差。接收到的信号提供有价值的信息,包括距离、速度和目标特征。本研究旨在利用收集的FMCW记录的图像处理技术创建金属板的腐蚀图,代表一种无损检测(NDT)形式,评估材料、组件或系统的特性或结构完整性,而不会造成损害。在收集到与目标相关的拍频后,进行初始数据预处理以生成数据矩阵,然后使用图像处理技术进行二次映射。构建图像所需的数据尺寸约为466,854像素。拍频,或相移,在该频率变化的前景和背景,而自适应窗口和阈值处理应用于初始帧。利用各种图像分割技术对重构图像进行视觉验证。分析表明,与光学照片相比,直方图相似度和欧氏距离分别为0.80和0.63。
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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