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一种使用多传感器磁流泄漏信号融合的新型缺陷量化方法

Wenlong Liu¹, Lemei Ren¹, Guansan Tian¹

¹School of Thermal Engineering, Shandong Jianzhu University, Jinan 250100, China.

Sensors (Basel, Switzerland)

|October 26, 2024

概括

本研究引入了一种新的多传感器信号融合 (MSSF) 方法,用于使用磁流泄漏 (MFL) 检测准确量化管道缺陷. 更多的SSF方法增强了缺陷信息的多样性,在复杂的环境中提高了准确性和效率.

科学领域:

非破坏性测试是指非破坏性测试.
管道完整性的评估评估管道完整性的评估
磁流泄漏 (MFL) 是指磁流的泄漏.

背景情况:

在MFL检测中准确的缺陷量化对于管道完整性至关重要.
由于算法的复杂性和依赖先前知识,传统方法在复杂的场景中难以准确和高效.

研究的目的:

为MFL信号开发一种新的缺陷量化方法,以提高准确性和效率.
在复杂的检测环境中解决传统缺陷逆转方法的局限性.

主要方法:

使用多传感器探测器在各种升起值下融合MFL信号,以增强缺陷信息多样性.
采用特征近似方法 (CAA) 来识别缺陷打开配置文件.
开发了一个基于3D磁二极管模型和多传感器探测器特征的代算法,以确定缺陷深度.

主要成果:

多传感器信号融合 (MSSF) 方法实现了精确的缺陷量化,每深度计算点不到15次代.
矩形金属损失,穿孔和形缺陷的量化错误小于10%.
有限元模拟和物理实验验证实了该方法的可行性和性能.

结论:

拟议的MSSF方法为基于MFL的管道检查提供了明显的缺陷量化准确性和效率的改进.
该方法符合实际检查要求,为管道完整性评估提供可靠的数据.

关键词:

具有特征的近似方法 (CAA)缺陷深度计算点缺陷深度计算点磁流泄漏 (MFL) 是指磁流的泄漏.多传感器信号融合 (MSSF) 是一个

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