通过提出一个“Y假设”，本文求得了一个固体火箭发动机线性声振荡燃烧的三维理论模型。
On the assumption of "Y", a three-dimensional model is obtained for the linear acoustic combustion in a rocket motor.
最后，基于模型数据，应用神经网络识别了液体火箭发动机的几种故障模式。
Finally, based on the model data, the neural networks are applied to recognize several fault patterns of the liquid rocket engine.
基于系统分解方式，建立凝胶推进剂火箭发动机工作过程的数学模型，并采用液流试验数据对其进行修正。
This paper established the mathematical models of the whole operation process of gelled propellant rocket engine based on system disassembly.
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