水电站机电技术2024，Vol.47Issue(1)：16-18,3.DOI:10.13599/j.cnki.11-5130.2024.01.005
基于CEEMDAN和小波包分解的闸门振动信号降噪研究
Research on noise reduction in gate vibration signals based on CEEMDAN and wavelet packet decomposition
摘要
Abstract
This paper proposes an algorithm to address noise denoising in vibration signals from gate monitoring.The proposed noise reduction algorithm combines the Complementary Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN)and wavelet packet decomposition to effectively eliminate external interference in vibration signals of sluice gates at hydropower plants.The CEEMDAN method is utilized to separate external disturbances from real signal components by decomposing the signals into several intrinsic mode functions(IMFs),each representing vibration components at different frequencies.The subsequent wavelet packet decomposition is applied to further decompose each IMF into sub-bands at varying scales and frequencies,enabling more accurate location and separation of interference components.Noise is then effectively removed from each sub-band by applying the threshold denoising technology,ensuring the generation of real signals.Experimental results showed the successful elimination of useless noise from gate vibration signals using this algorithm.The proposed algorithm offers an effective approach to improve the accuracy of gate vibration signals.关键词
闸门/振动信号/CEEMDAN/小波包分解/阈值降噪Key words
gate/vibration signal/CEEMDAN/wavelet packet decomposition,threshold denoising分类
建筑与水利引用本文复制引用
李初辉,孔令超,董懿,杨赛,黄天雄..基于CEEMDAN和小波包分解的闸门振动信号降噪研究[J].水电站机电技术,2024,47(1):16-18,3.基金项目
中国长江三峡集团有限公司科研项目(Z522202011). （Z522202011）
