High Lift Value Metal Pipeline Detection Model Based on Metal Magnetic Memory 3-D Differential Method

有限元法 Lift(数据挖掘) 磁场 波形 无损检测 计算机科学 管道(软件) 声学 灵敏度(控制系统) 噪音(视频) 结构工程 工程类 电子工程 机械工程 人工智能 物理 电气工程 数据挖掘 图像(数学) 电压 量子力学
作者
Guocheng Hao,Xiangbo Li,Jiantao Yu,Haifeng Xu,L. Bu,Wang Luo,Juan Guo
出处
期刊:IEEE Sensors Journal [IEEE Sensors Council]
卷期号:24 (4): 4586-4595
标识
DOI:10.1109/jsen.2023.3348568
摘要

The metal magnetic memory (MMM) nondestructive testing (NDT) method is widely accepted for its strong environmental adaptability, high sensitivity, and simple measurement operation; nevertheless, due to the complex environmental factors and the influence of detection distance, it is still a technical challenge to perform high-accuracy pipeline inspection at high lift-off values, where the lift-off value is the distance between the magnetic probe and the surface of the pipe. To better study the MMM field model, this article puts forward the high lift-off distance MMM–3-D (HDMMM-3-D) differential method of ${G}_{z}$ . Through the COMSOL software simulation of the finite element method, we performed practical tests with the low-noise acquisition equipment in an independent design. The finite element method simulation and the results of the numerical, analytical image features and numerical sizes are similar. In the field pipeline test, the waveform signal undergoes a change of first rising and then falling at the damage location; comparing the waveform of magnetic gradient and ${G}_{z}$ at the 3 m damage location of the pipeline, the ${G}_{z}$ has a more detailed differentiation of the number of damages, and the peak size of the damage signal is more obvious. It is effective to verify the HDMMM-3-D differential method, which provides the theoretical basis and application support for the in-depth study of high separation value in the field of nondestructive testing.
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