内燃机振动信号的盲源分离方法试验研究

Study on Blind Source Separation of Vibration Signals of IC Engine

应用Gray’s变量准则作为代价函数研究了基于源信号非高斯性的多通道盲最小均方差算法。针对内燃机振动信号源分离的实际需要,首先生成3路模拟卷积混合信号进行盲源分离,分离信号与源信号相比,除幅值缩放和时间延迟外,其他信息基本得到了保留。以4135型柴油机为研究对象同时测得机体10路振动信号,每次选择3路信号进行盲源分离试验,3组试验得到不同的独立分量,经过分析确定这些独立分量分别为活塞撞击、排气阀关闭和进气阀关闭产生的信号。仿真信号和实测内燃机振动信号的分离结果表明多通道盲最小均方差是一种有效的盲源分离算法。

This paper studied the algorithm of multi-channel blind least mean square(MBLMS) based on the nongaussianity of sources by using Gray s variable norm as the cost function.To meet the practical requirement in vibration sources separation in IC engine,three simulated convolutive-mixture signals were generated to make the blind source separation.Compared with the sources,the separated signals keep all information except scale variation and time delaying.Ten vibration signals were simultaneously measured from t...