基于双传感器差分机制的铁磁性金属板件亚表面腐蚀缺陷脉冲涡流可视化检测

doi:10.3969/j.issn.1004-132X.2025.03.001

中国机械工程 ›› 2025, Vol. 36 ›› Issue (03): 381-390.DOI: 10.3969/j.issn.1004-132X.2025.03.001

基于双传感器差分机制的铁磁性金属板件亚表面腐蚀缺陷脉冲涡流可视化检测

王瑾¹;李勇¹*;苏冰洁¹;高文龙¹;向异^1,2;刘正帅¹;陈振茂¹

1.西安交通大学航天航空学院，西安，710049
2.国家电网有限公司西北分部，西安，710048

出版日期:2025-03-25 发布日期:2025-04-15
作者简介:王瑾，女，1998年生，硕士研究生。研究方向为电磁无损检测。E-mail：wangjin123@stu.xjtu.edu.cn。
基金资助:
国家磁约束核聚变能发展研究专项(2019YFE03130003)；国家自然科学基金(52177007，52311540018，11927801)

Visual Detection of Subsurface Corrosions in Ferromagnetic Metal Plates Using Pulsed Eddy Current Based on Dual-sensor Differential Mechanism

WANG Jin¹;LI Yong¹*;SU Bingjie¹;GAO Wenlong¹;XIANG Yi^1,2;LIU Zhengshuai¹;CHEN Zhenmao¹

1.School of Aerospace Engineering,Xian Jiaotong University,Xian,710049
2.Northwest Branch of State Grid Corporation of China,Xian，710048

Online:2025-03-25 Published:2025-04-15

摘要/Abstract

摘要： 针对铁磁性金属板件亚表面腐蚀缺陷，提出了一种基于双传感器差分机制的脉冲涡流可视化检测方法。该方法利用双传感器差分探头拾取脉冲涡流检测信号，提取检测信号下降沿对数曲线斜率和归一化差分信号峰值作为信号特征，用于对不同尺寸缺陷进行可视化检测。通过仿真及实验研究，建立了所提信号特征与缺陷尺寸间的关联规律，并验证了双传感器差分探头相较于传统单传感器探头在降低噪声干扰和提高检测灵敏度方面具有优势。此外，提出了对两种信号特征进行融合的方法，结果表明，使用融合信号特征的缺陷图像信噪比更高。所提方法为铁磁性金属板件亚表面腐蚀缺陷的可视化检测提供了一种有效且可靠的解决方案。

关键词: 电磁无损检测, 脉冲涡流检测, 亚表面腐蚀缺陷, 信号特征融合, 可视化检测

Abstract: A pulse eddy current visual detection method was proposed based on a dual-sensor differential mechanism for subsurface corrosions in ferromagnetic metal plates. In this method, a dual-sensor differential probe was used to pick up the pulsed eddy current testing signals, and the slope of the logarithmic curve along the falling edge of the testing signals and the peak value of the normalized differential signals were extracted as signal features, which were used for visual detection of defects of different sizes. Through simulation and experimental research, the correlation laws between the proposed signal features and the sizes of defects were established, and it is verified that the dual-sensor differential probe has the advantages of reducing noise interference and improving the detection sensitivity compared with traditional single-sensor probes. In addition, a method was proposed to fuse the two signal features, and the results indicate that the defect images using fused signal features have a higher image signal-to-noise ratio. The research method proposed herein provides an effective and reliable solution for the visual detection of subsurface corrosions in ferromagnetic metal plates.

Key words: electromagnetic nondestructive evaluation, pulsed eddy current detection, subsurface corrosion, signal feature fusion, visual detection

中图分类号:

TG115.28

王瑾1, 李勇1, 苏冰洁1, 高文龙1, 向异1, 2, 刘正帅1, 陈振茂1. 基于双传感器差分机制的铁磁性金属板件亚表面腐蚀缺陷脉冲涡流可视化检测[J]. 中国机械工程, 2025, 36(03): 381-390.

WANG Jin1, LI Yong1, SU Bingjie1, GAO Wenlong1, XIANG Yi1, 2, LIU Zhengshuai1, CHEN Zhenmao1. Visual Detection of Subsurface Corrosions in Ferromagnetic Metal Plates Using Pulsed Eddy Current Based on Dual-sensor Differential Mechanism[J]. China Mechanical Engineering, 2025, 36(03): 381-390.

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链接本文: https://www.cmemo.org.cn/CN/10.3969/j.issn.1004-132X.2025.03.001

https://www.cmemo.org.cn/CN/Y2025/V36/I03/381

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基于双传感器差分机制的铁磁性金属板件亚表面腐蚀缺陷脉冲涡流可视化检测

Visual Detection of Subsurface Corrosions in Ferromagnetic Metal Plates Using Pulsed Eddy Current Based on Dual-sensor Differential Mechanism

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