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基于由改进的秘书鸟优化算法和波形值优化的变量模态分解组合的陶检测信号的去除
Jianping Luan1,2, Liping Liu3,4, Bo Cui1
1School of Artificial Intelligence, North China University of Science and Technology, 063210 Tangshan, China.
The Review of scientific instruments
|January 13, 2025
概括
本研究引入了改进的秘书鸟优化算法 (ISBOA) 和变化模式分解 (VMD) 以有效消除陶敲击检测信号中的噪音. 这种新方法在非破坏性测试应用中显著提高了信号质量和准确性.
科学领域:
- 材料科学 材料科学 材料科学
- 信号处理 信号处理
- 计算智能是一种计算智能.
背景情况:
- 敲击检测信号中的噪声干扰对陶板的非破坏性测试构成了挑战.
- 准确的信号处理对于可靠的缺陷识别至关重要.
研究的目的:
- 为敲击检测信号开发一种先进的消除噪声技术.
- 提高陶材料的非破坏性测试的准确性和有效性.
主要方法:
- 一个改进的秘书鸟优化算法 (ISBOA) 是使用牛顿-拉普森和平滑利用变化开发的.
- 由ISBOA优化的变量模式分解 (VMD) 将信号分解为内在模式函数 (IMF).
- 变识别了有效的信号组件,然后使用改进的波幅值来表示无效.
主要成果:
- 拟议的方法使信号噪声比提高了11.59dB,并将模拟信号的根平均平方误差降低了73.6%.
- 与其他算法相比,denoising技术表现出显著的有效性.
- 对各种缺陷的陶敲击检测信号的成功应用证实了广泛的适用性和出色的消除噪音.
结论:
- 优化ISBOA的VMD与波形值相结合,为陶敲击检测中的降噪提供了一个强大的解决方案.
- 这种方法提高了对陶材料的非破坏性测试的可靠性.
- 这种方法显示出在工业检查中实际实施的希望.
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