基于独立分量分析技术的内燃机噪声源识别

Noise Sources Recognition Based on Independent Component Analysis Technology

为降低内燃机的噪声,需要有效地识别内燃机的众多噪声源。采用一种新的独立分量分析技术对采集到的内燃机混叠噪声信号进行分离,并结合噪声产生机理辨别出单个噪声分量对应于内燃机的相应噪声源,从而有效地识别内燃机噪声源。实践证明,该技术可以有效识别内燃机的混叠噪声。最后就噪声控制提出了建议。

In order to reduce the engine noise, it is needed to find an effective way to identify the internal combustion engine noise sources. A new independent component analysis technology is used to separate the internal combustion engine-aliasing noise signals, combining with noise generated principle to identify a single noise component correspond to the internal combustion engine corresponding noise source. Thereby the internal combustion engine noise sources are identified effectively. Practice has proved that the technology can identify the internal combustion engine-aliasing noise effectively. Suggestions for the noise control are proposed.