一种基于多传感器的噪声信号分离方法

分析了工业现场噪声分布情况和噪声的传输特性,提出了一种将多点多传感器测量所得噪声值,再通过相关性分析进行噪声分离的新方法.各个传感器的测量信号都是混叠噪声信号,它们的自相关函数的波形与信号本身的波形无关,仅与信号所包含的频率成分亦即振幅谱有关,且互相关函数rxy(n)也只包含信号Xn和Yn所共有的频率成分.理论分析和计算机仿真证明可以有效的分离强干扰噪声,为噪声故障诊断提供可靠的真实数据.

A Separation Method of Mixture Acoustics Based on the Multi2Sensor Measurements

The conditions of the machinal acoustic working field and the features of acoustic moving around it were discussed.A new approach was given to separate mixture acoustics based on the correlation analysis,and all kinds of acoustics given out by many machines were measured using many sensors in different sites.The measure result of every sensor is comeing from various acoustics and is mixture of tones.The sound signal waves of autocorrelation functions have no relation to their signals waves,and it had a close relationship with their frequency property or amplitude spectrum.Cross-correlation function r_(xy)(n) is composed of signal functionX_n and Y_n with same frequency also.According to theory discussion and computer simulation,the results had proved that the strong interference noises can be separated from the normal signal,and the authentic data can be provided for the machine monitor and fault diagnose.