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Inspection of Defect Under Thick Insulation Based on Magnetic Imaging With TMR Array Sensors | |
2022-03-01 | |
发表期刊 | IEEE TRANSACTIONS ON MAGNETICS (IF:2.1[JCR-2023],2.0[5-Year]) |
ISSN | 1941-0069 |
卷号 | 58期号:3 |
发表状态 | 已发表 |
DOI | 10.1109/TMAG.2021.3138587 |
摘要 | A lot of industrial structures are covered by insulation. Defects under insulation (DUI) frequently distress the structure maintenance and may lead to serious safety concerns. In this article, a probe with tunneling magnetoresistance (TMR) array sensors is proposed to inspect defects under thick insulation. The probe contains 64 TMR sensors with the size of each sensor length $\times $ width = 0.45 mm $\times0.45$ mm, which can generate a magnetic field image with high spatial resolution. Excitation current with extremely low frequency (in the order of a few hundred Hertz) is utilized for inspection of defects with large liftoff distances. In this low-frequency range, the TMR sensors have much better sensitivity than conventional induction coils. A data processing method based on discrete wavelet transform (DWT) is utilized to reduce noise and highlight defect indication. Experimental results demonstrate that the probe is capable of detecting a machined rectangular defect with dimensions of 6 mm (length), 3 mm (width), and 1 mm (depth) under 10 mm thick insulation. The minimum dimensions of the machined defect under 20 mm insulation that can be detected by the probe are 9 mm (length), 3 mm (width), and 1 mm (depth). As a comparison, for a commercial pulsed eddy current probe (PECA-HR-SM), the length of minimum detectable detect is 19 mm under 18 mm thick insulation. If the thickness of the insulation is 30 mm, a machined rectangular defect with dimensions 21 mm (length), 3 mm (width), and 7 mm (depth) can be detected by the proposed probe. The experimental results demonstrate that the proposed probe is a promising alternation with excellent sensitivity for inspection of defects with large liftoff distances. |
URL | 查看原文 |
收录类别 | SCI ; SCIE ; EI |
来源库 | IEEE |
引用统计 | 正在获取...
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文献类型 | 期刊论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/159568 |
专题 | 信息科学与技术学院 信息科学与技术学院_PI研究组_叶朝锋组 信息科学与技术学院_博士生 信息科学与技术学院_PI研究组_汪阳组 |
作者单位 | 1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 2.Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China 3.University of Chinese Academy of Sciences, Beijing, China 4.China Nuclear Power Operation Technology Corporation, Ltd., Wuhan, China |
第一作者单位 | 信息科学与技术学院 |
第一作者的第一单位 | 信息科学与技术学院 |
推荐引用方式 GB/T 7714 | Yang Wang,Yong Nie,Pan Qi,et al. Inspection of Defect Under Thick Insulation Based on Magnetic Imaging With TMR Array Sensors[J]. IEEE TRANSACTIONS ON MAGNETICS,2022,58(3). |
APA | Yang Wang,Yong Nie,Pan Qi,Na Zhang,&Chaofeng Ye.(2022).Inspection of Defect Under Thick Insulation Based on Magnetic Imaging With TMR Array Sensors.IEEE TRANSACTIONS ON MAGNETICS,58(3). |
MLA | Yang Wang,et al."Inspection of Defect Under Thick Insulation Based on Magnetic Imaging With TMR Array Sensors".IEEE TRANSACTIONS ON MAGNETICS 58.3(2022). |
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