基于SVMD与ICEEMDAN相结合的高温和低压电磁检测信号的适应性降噪方法
Zhizeng Ge1,2, Jinjie Zhou1,2, Xingquan Shen1,2
1School of Mechanical Engineering, North University of China, Taiyuan 030051, China.
Micromachines
|August 29, 2024
概括
本研究介绍了一种适应性降噪方法,用于高温设备中的低激发电压 (LEV) 电磁声传感器 (EMAT) 信号. 该技术通过显著提高信号噪声比率 (SNR) 来有效检测小缺陷.
科学领域:
- 材料科学 材料科学 材料科学
- 非破坏性测试 不破坏性测试
- 信号处理 信号处理
背景情况:
- 剪波电磁声传感器 (EMAT) 中的低信号噪声比 (SNR) 阻碍了高温设备的检测.
- 低激发电压 (LEV) 进一步降低了EMAT信号质量,掩盖了噪声中的缺陷回声.
研究的目的:
- 开发一种适应性降噪方法,在LEV条件下从高温设备中提取EMAT信号.
- 为了提高在高温下检测40Cr等材料中小缺陷的检测能力.
主要方法:
- 使用哈里斯·霍克斯优化器 (HHO) 进行自适应降噪,以找到连续变化模式分解 (SVMD) 的最佳参数.
- 根据激发中心频率和相关系数进行过.
- 改进了完整的集体实证模式分解与适应性噪声 (ICEEMDAN) 和内在模式函数选择的曲解因子.
- 通过希尔伯特变换提取信号.
主要成果:
- 拟议的方法有效地抑制了LEV EMAT信号中的背景和杂乱噪声.
- 在EMAT信号的SNR中取得了显著的改进.
- 在40Cr的回声信号中成功检测和提取2毫米小的缺陷,其温度范围从25°C到700°C.
结论:
- 适应性降噪技术显示了对高温设备的LEV检测具有很高的潜力.
- 该方法为在具有挑战性的热环境中进行非破坏性测试提供了有价值的应用前景.
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