高噪声环境下转子振动信号的盲分离
Blind separation of rotor vibration signals in high-noise environments
摘要：
在发动机转子运行过程中，传感器测得的振动信号是各振源的混合信号，同时含有较强的噪声。本文提出了一种新的强噪声环境（信噪比=-5）下混合振动信号的分离方法。首先采用时延自相关去噪方法对混合信号进行去噪，然后采用普通盲分离算法（这里采用MSNR算法）对混合振动信号进行分离，提高了分离性能。仿真结果验证了该方法的有效性。该方法为发动机转子振动信号的健康监测和故障诊断提供了新的思路。
英文摘要：
During the operation of the engine rotor, the vibration signal measured by the sensor is the mixed signal of each vibration source, and contains strong noise at the same time. In this paper, a new separation method for mixed vibration signals in strong noise environment(SNR=-5) is proposed. Firstly, the time-delay auto-correlation de-noising method is used to de-noise the mixed signals, and then the common blind separation algorithm (MSNR algorithm is used here) is used to separate the mixed vibration signals, which improves the separation performance. The simulation results verify the validity of the method. The proposed method provides a new idea for health monitoring and fault diagnosis of engine rotor vibration signals.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
