摘要
在实际的振动测速过程中,有效信号往往淹没在噪声之中,FFT不能准确识别振动信号的有效转速频率。针对FFT抗噪声性能和测量精度不足的问题,提出一种多重自相关和chirp-Z变换相结合的算法。该算法能够提取强噪声背景下的有效信号,精确测量旋转机械的转速。通过仿真和对实验数据的分析,验证此方法的稳定性和有效性,具有很好的工程应用价值。
The available signal is usually submerged in noise background in speed testing of rotating machines through vibration signal, and the FFT algorithm cannot accurately identify the available rotating frequency in the vibration signal. Aiming at this problem, an algorithm based on multi-layer autocorrelation and chirp-Z transform was proposed. This method can extract the available signal in strong noise environment and precisely measure the speed of rotating machine. The results from theoretical simulation and experimental data verify the robustness and effectiveness of this method. This work has a good significance for engineering application.
出处
《噪声与振动控制》
CSCD
2013年第2期144-147,共4页
Noise and Vibration Control
基金
"十二.五"国家科技重大专项:(2011ZX05024-002-009)
关键词
振动与波
多重自相关
CHIRP-Z变换
振动测速
信噪比
vibration and wave
the multi-layer autocorrelation
chirp-z transform
vibration tachometer
signal to noise ratio （SNR）
