A signal denoising method based on goose optimization algorithm for optimal variational modal decomposition and improved wavelet thresholding function
Lide Fang, Zhongliang Wang, Yiqian Sun, Zeyu Zhu, Ji Hua Sun, Mi Wang · Physics of Fluids · 2025
Ultrasonic flowmeters are widely used in energy and control applications, providing accurate and fast measurement of fluid flow rates. This paper proposes a denoising method based on the goose optimization algorithm, a nature-inspired optimization method mimicking the foraging behavior of goose. GO optimizes the penalty factor and decomposition layer number of variational modal decomposition, resulting in the GO-VMD approach. Decomposed modal components are further denoised using an improved wavelet thresholding method. The algorithm is compared with existing methods, such as high-frequency ultrasonic signal processing, and experimental results show that it improves the signal-to-noise ratio by 8%, reduces root mean square error by 5%, retains more useful information, and achieves significant denoising results.