摘要
为了保证测量效果,采用窄带滤波对船舶轴频电场信号进行预处理,在此基础上,建立基于BP神经网络自适应噪声抵消系统对船舶轴频电场信号进行提取。
The narrow-band filter was applied to pre-treat the electric field signal of shaft frequency in order to ensure the measurement effect. The adaptive noise reduction system based on the neural networks and time-frequency analysis was developed to extract the electric field signal of shaft frequency of a ship.
出处
《船海工程》
2009年第5期190-193,共4页
Ship & Ocean Engineering
关键词
神经网络
窄带滤波
船
电场
neural networks
narrow-band filter
ship
electric field