柴油机振动信号盲分离组合算法

由于机械系统的振动信号能有效反映系统特征,对其进行盲解卷积能提供由混合信号中分离出源信号的可能性,为此提出机械系统振动卷积模型;将多通道盲最小均方差与缩减盲源方法结合提出MBLMS-TDS组合算法,且利用该算法对卷积混合信号进行盲解卷积验证算法的合理性;用该算法对柴油机表面混合振动信号进行分离,获得活塞撞击缸体信号与柴油机燃烧信号。

A combination algorithm for diesel engine vibration signal blind separation

The mechanical system vibration signals effectively reflect the characteristics of the system, its blind deconvolution can provide the possibility of separation of source signals from the mixed signals. Firstly,this paper proposes the convolution model of the mechanical system vibration; Secondly, this paper combines the Multi-Channel Blind Least Mean Squares with the Deflation Source .it is called as the MBLMS-TDS algorithm. For verifing the reasonableness of the algorithm, it is applied in the blind deconvolution of simulation mixed sources.Finally, This paper extracts the diesel engine piston-slap signal and combustion signal from the mixed vibration signal on the surface of the diesel engine piston by the MBLMS-TDS algorithm.