基于盲分离的柴油机轴系扭振信号分离研究

柴油机瞬时转速信号来自不同激励源,激励源信号的频率成分受气动力、往复惯性力和离心力等影响,并且相互重叠。干扰成分的频谱组成非常复杂,主要分为随机噪声谱,独立线谱等。文中应用盲源分离信号处理技术对瞬时转速数据进行分离与仿真研究,实现均值处理、白化处理和分离前滤波等预处理方法,建立滤波预处理与盲源分离相结合的时延分离模型。并用仿真和实验进行了算法验证。

Study on extracting the torsional vibration signal of Diesel shaft based on the blind source separation

The diesel instantaneous speed signal is made of different frequency components,which often overlap each other. At the same time the composition of the spectrum is also complex. In this paper, the instantaneous speed signal separation and data separation simulation are realized by the method of blind source separation, including the average processing, whitening and filtering, etc. The delay separation model is established by the blind source separation combined with filter pretreatment. The algorithm is verified by the simulation and experiment.