基于SOA-VMD-ICA的海水泵激励源特征提取方法OA北大核心CSTPCD

Aiming at the complex multi-source excitation feature extraction problems of the sea-water pumps,a feature extraction method was proposed based on the combination of SOA,VMD and ICA for the excitation sources of the seawater pumps.Based on the single-channel measurement sig-nals,the VMD algorithm and SO A optimization algorithm were used to calculate the signal square en-velope spectral kurtosis statistic as the fitness function to optimize the modal decomposition number K,the penalty coefficient a,and the eigenmodal function components(IMF).The signal alignment en-tropy was used as the noise test function.After choosing a reasonable threshold value,the IMF com-ponents for noise were screened then the non-noise IMF component signals were obtained.Fast-ICA algorithm was used to obtain the excitation source signal vector,thus realizing the excitation source feature signal extraction.The effectiveness of the feature extraction method was verified through the experimental and comparative analysis of the excitation source feature extraction of the real ship's sea-water pumps.The results show that SOA-VMD-ICA algorithm meet the requirements of extracting the excitation source features of seawater pumps accurately under single-channel measurement conditions.