A new method of acoustics separation based on correlation analysis

In this paper, according to the acoustic signals characters, a new method was given to separate mixture acoustics which by measure these signals using many sensors in corresponding site and based on the correlation analysis. The measure result of every sensor is come from various acoustics and is superposition, but the signal waves of its autocorrelation functions had a close relationship with their frequency property or amplitude spectrum so the acoustic signal can be obtained. by Fourier analysis. According to theory discussion and computer simulation, the results had proved that the strong interference noises canbe separated well from the normal signal, and the authentic data can be provided for the machine monitor and fault diagnose.