柴油发动机气缸压力和燃烧始点的辨识

在柴油发动机气缸压力的识别过程中，针对缸盖振动信噪比较低的问题，提出了对RBF网络训练样本进行时域统计平均降噪的方法，同时在对燃烧始点的辨识中应用了Kaiser差分器。时域统计平均有效提高了信号的信噪比，对柴油发动机气缸压力的恢复获得了很好的结果；Kaiser差分器有效提高了对燃烧始点的辨识。通过实践证明，该计算方法可以有效地从柴油发动机缸盖振动信号恢复气缸压力，并进一步辩识燃烧始点。

Identification of Diesel Engine Cylinder Pressure and Timing of Combustion

An denoising approach on RBF network, that is to recover diesel engine cylinder pressure by time statistic average on RBF network training samples, and to identify timing of combustion by Kaiser differentiator on RBF net output. The signal-to-noise ratios of both the cylinder cover vibration signal and the responding cylinder pressure signal of the training samples are effectively enhanced by time statistic average method, and Kaiser differentiator improves the identification of timing of combustion. By experiments and calculations, it is proved to be practical to recover the diesel engine cylinder pressure signal by responding vibration signal and identifying the timing of combustion.