基于HELS方法的噪声诊断技术研究

基于赫姆霍兹方程最小二乘法（HELS）的噪声诊断技术，将赫姆霍兹方程应用于噪声诊断技术中，把声场中声压转化为一组线性无关的独立函数的叠加，使用最小二乘法根据已知的较少噪声信号准确高效地重建声源表面的声压。建立基于非线性优化理论的新型HELS-PSO模型进行噪声源识别和声场重建研究，在实验室中以音箱作为模拟噪声源，通过实验进行验证。实验结果验证了该算法的有效性和高效性，表明新算法的求解精度较高。

Research on Noise Diagnosis Technology Based on HELS Method#br#

The noise diagnosis technology based on HELS applied the Helmholtz equation for noise diagnosis. It transformed the superposition of sound pressure into superposition of a set of linear independent functions. Then the method of least squares was used to reestablish the surface pressure of the sound source according to the known noise signals. The paper innovatively established a new type of HELS-PSO model to research the noise source identification and sound field reconstruction in order to improve solution accuracy. In the experiments the speakers were as simulated noise source and verified by experiments. The experimental results verify the effectiveness and efficiency of the algorithm and the accuracy of the new algorithm is higher than that of the traditional HELS algorithm.