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一种基于经验模态分解的舰船轴地电压信号检测方法

A Method of Ship Shaft-ground Voltage Signal Detection Based on EMD Algorithm
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摘要 针对含噪舰船轴地电压信号检测困难的问题,引入了基于经验模态分解(EMD)的检测算法,提出了一种基于端点循环延拓的端点效应抑制算法(ECEA),设计了基于集成平均EMD降噪算法(EEMD)的舰船轴地电压信号降噪方法.仿真结果表明,提出的端点抑制方法可有效抑制端点效应;实测轴地电压降噪试验结果表明,信号包含了丰富的谐波分量,基于EEMD的轴地电压信号检测算法具有良好的降噪效果,能较好的分离出轴频轴地电压信号. Aiming at the problem of the detection of the noisy shaft-ground voltage signal of ship,a detection algorithm based on empirical mode decomposition(EMD)is introduced.The end effect suppression algorithm based on end-cycle extension(ECEA)is proposed,and the noise reduction method of ship shaft-ground voltage signal is designed based on EEMD.The simulation results show that the proposed method can effectively suppress the end effects.The experimental results of ship show that the signal contains an abundant harmonic component,and the method of shaft-ground voltage signal detection based on EEMD has a good noise reduction effect,which can be used to extract the shaftrate component from the ship shaft-ground voltage signal.
出处 《武汉理工大学学报(交通科学与工程版)》 2017年第6期914-917,共4页 Journal of Wuhan University of Technology(Transportation Science & Engineering)
基金 国家自然科学基金项目资助(41476153)
关键词 轴地电压 端点效应 经验模态算法 检测方法 shaft-ground voltage end effect EMD algorithm detection method
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