本文讨论了柴油机气缸盖系统的激励源及其振动响应特性。对柴油机气缸压力识别方法进行了探讨 ,并对各种方法进行了分析比较 ,提出利用人工神经网络进行气缸压力识别的新方法。结果表明 ,该方法明显优于其他线性方法。本文为柴油机的状态监测和故障诊断开辟了一条新的途径。 This article discusses the excitation source and its vibration response characteristics of the diesel engine cylinder head system. The cylinder pressure identification method of diesel engine was discussed, and various methods were analyzed and compared, and a new method of using artificial neural network to identify cylinder pressure was put forward. The results show that this method is obviously better than other linear methods. This paper opens up a new way for diesel engine condition monitoring and fault diagnosis.