Luan Jianping, Liu Liping, Cui Bo
School of Artificial Intelligence, North China University of Science and Technology, 063210 Tangshan, China.
Hebei Key Laboratory of Industrial Intelligent Perception, 063210 Tangshan, China.
Rev Sci Instrum. 2025 Jan 1;96(1). doi: 10.1063/5.0239846.
In response to the problem of noise interference in the knock detection signal received by the pickup in the ceramic sheet knock non-destructive testing, a noise removal method is proposed based on the improved secretary bird optimization algorithm (ISBOA) optimized variational mode decomposition (VMD) combined with wavelet thresholding. First, the secretary bird optimization algorithm is improved by using the Newton-Raphson search rule and smooth exploitation variation strategy. Second, the ISBOA is used to select the key parameters in the VMD. Third, the signal is subjected to the VMD decomposition to obtain the intrinsic mode functions (IMFs), and permutation entropy of each IMF component is calculated to divide it into effective signal component or noise component. Finally, the effective signal component is denoised by using improved wavelet thresholding, and the processed IMFs components are reconstructed to obtain the denoised signal. The denoising of simulated signal with 5 dB signal-to-noise ratio shows that the signal-to-noise ratio of the signal is improved by 11.59 dB and the root mean square error is reduced by 73.6%, which is the most significant denoising effect of the method compared to other similar algorithms. In addition, tests on the knock detection signals of ceramic pieces with different types of defects also show that the method has wide applicability and an excellent denoising effect.
针对陶瓷片敲击无损检测中拾音器接收到的敲击检测信号存在噪声干扰的问题，提出了一种基于改进秘书鸟优化算法（ISBOA）优化变分模态分解（VMD）并结合小波阈值的去噪方法。首先，利用牛顿 - 拉夫逊搜索规则和平滑开发变异策略对秘书鸟优化算法进行改进。其次，使用ISBOA选择VMD中的关键参数。第三，对信号进行VMD分解以获得本征模态函数（IMF），并计算每个IMF分量的排列熵，将其分为有效信号分量或噪声分量。最后，利用改进的小波阈值对有效信号分量进行去噪，并对处理后的IMF分量进行重构以获得去噪后的信号。对信噪比为5 dB的模拟信号进行去噪处理表明，该信号的信噪比提高了11.59 dB，均方根误差降低了73.6%，与其他类似算法相比，该方法的去噪效果最为显著。此外，对不同类型缺陷的陶瓷片敲击检测信号进行测试也表明，该方法具有广泛的适用性和优异的去噪效果。
