江汉大学学报（自然科学版）2024，Vol.52Issue(1)：43-54,12.DOI:10.16389/j.cnki.cn42-1737/n.2024.01.005
基于BO-WT-VMD组合模型的钢丝绳的损伤信号降噪方法
Noise Reduction Method for Damage Signal of Wire Rope Based on BO-WT-VMD Combined Model
摘要
Abstract
To accurately identify the fault data of wire rope defects and eliminate the noise in the measured signal,this paper used a combined noise reduction model based on the Bayesian optimization-wavelet transform-variational moda decomposition(BO-WT-VMD)for noise reduction.Firstly,the wavelet transform(WT)was used to process the original signal.Then,the variational mode decomposition(VMD)was used for the modal decomposition of the signal processed by the wavelet transform.The correlation coefficient between the decomposed mode and the original signal was calculated to complete the signal mode selection and reconstruction.Finally,the Bayesian optimization(BO)algorithm was used to search for parameters K and the value α in the VMD algorithm,avoiding the impact of sequence decomposition and prediction accuracy,in order to find the optimal hyperparameter combination.Furthermore,in simulation trials and real data,the SNR and RMSE of the BO-WT-VMD,WT,and VDM algorithms are calculated respectively,which were(17.340 3,0.101 0),(15.617 0,0.123 2),(15.649 2,0.122 7),indicating that the algorithm proposed in this paper can effectively eliminate signal noise.关键词
磁漏检测/小波变换/变分模态分解算法/贝叶斯优化/钢丝绳/降噪Key words
magnetic leakage detection/wavelet transform/variational mode decomposition/Bayesian optimization/wire rope/noise reduction分类
数理科学引用本文复制引用
朱宇坤,黎恒,吴文俊,柯圆圆..基于BO-WT-VMD组合模型的钢丝绳的损伤信号降噪方法[J].江汉大学学报（自然科学版）,2024,52(1):43-54,12.基金项目
国家自然科学基金资助项目(11901245) （11901245）
