基于RBF神经网络的柴油机排气温度传感器检测方法的研究

Detection Method of Diesel Engine's Exhaust Temperature Sensor Based on RBF NN

针对柴油机热工参数之间复杂的非线性关系,提出了采用R BF神经网络技术融合柴油机热工参数数据进行排气温度传感器检测的方法,并可对柴油机各缸排气温度进行状态监测。计算机仿真与实际应用表明,利用神经网络的智能检测技术对柴油机排气温度传感器和状态监测是切实可行的。

In view of the complex non-linear connection between the parameters of thermal cycling, a detection method was introduced to measure the diesel engine＇s exhaust temperature sensor. It is based on RBF NN and takes the parameters of thermal cycling into consideration. Moreover, this method can realize state-monitoring of the exhaust temperature of each cylinder. The computer simulation and actual application indicate that this method is feasible and can achieve status-monitor as well.