Blind source separation of vibration signal of electric traction experiment system

For Multi-channel data acquisition and analysis, Blind signal separation technique and Fast ICA is an effective method; In this paper, data acquisition objects is the vibration signal of electric traction experiment system, Fast ICA algorithm is adapted to separate the complex and aliasing measured vibration signal, separation results show that major source signals have been successfully and clearly separated from the complex and aliasing vibration signals through the separation algorithm, Then the characteristics of each source vibration signals can be effectively extracted in different frequency by analyzing source signals. The results are helpful for the later data analysis.