现代电子技术2025，Vol.48Issue(6)：91-98,8.DOI:10.16652/j.issn.1004-373x.2025.06.015
基于CEEMDAN-WTD-DBO的轴承振动信号降噪方法
Research on bearing vibration signal denoising based on CEEMDAN-WTD-DBO
摘要
Abstract
In allusion to the difficulty in extracting bearing fault frequency features in high-noise environments,a method combining the complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN),wavelet threshold denoising(WTD),and dung beetle optimization(DBO)is proposed.The signal is decomposed into multiple intrinsic mode functions(IMFs)using CEEMDAN,and the IMFs signal is selected according to the comprehensive evaluation index.The selected signal is denoised by WTD,and the parameters of the improved threshold function are selected adaptively by DBO,and the signal is reconstituted after the noise level is reduced effectively.The envelope spectrum analysis of the recombined signal shows that the proposed method can effectively denoise the signal and extract fault features.The method is applied to the simulation signal and actual bearing data of rolling bearings.The results show that in comparison with the traditional single noise reduction method,the CEEMDAN-WTD-DBO method based on parameter optimization has better performance in reducing random noise and extracting fault characteristic frequency.关键词
滚动轴承/振动信号/小波阈值降噪/模态分解/蜣螂优化算法/包络谱/故障特征提取Key words
rolling bearing/vibration signal/wavelet threshold denoising/mode decomposition/dung beetle optimization algorithm/envelope spectrum/fault feature extraction分类
电子信息工程引用本文复制引用
吴云飞,龙江,魏友,曾信凌..基于CEEMDAN-WTD-DBO的轴承振动信号降噪方法[J].现代电子技术,2025,48(6):91-98,8.基金项目
具有民航维修工程特色的机械专业硕士学位研究生一流培养平台体系建设(MHJY2022031) （MHJY2022031）
工程技术训练中心课程思政研究分中心建设(E2024061) （E2024061）
国家级民航机务工程实验教学示范中心培育(E2024063) （E2024063）
