机械噪声源识别的混合波叠加法

Combined Wave Superposition Method to Identify Machine Noise Sources

提出了一种稳健声场的全息变换算法———混合波叠加法,它结合了波叠加法和Helm-holtz方程最小二乘(HELS)方法的优点,用相对少量的测点数据就可重建任意形状源表面的声场。在半消声室里,运用29个传声器组成的“+”字形平面传声器阵列,对一运转的电机进行噪声源识别,得到声源的空间声压场分布及声源位置,显示出混合波叠加法在工程实践中广泛的应用前景。

A combined wave superposition method was proposed to be as a transform algorithm of nearfield acoustic holography. This method allows for reconstruction of the acoustic field from an arbitrary object with relatively few measurements. In a semi-anechoic chamber, a cross-planar microphone array, which consists of 29 microphones, was successfully applied to obtain the two-dimensional mapping of the sound sources. The experimental results demonstrate that the combined method is very effective in the low-to mid regime, and can potentially become a powerful noise diagnostic tool in engineering field.