基于云分类器的液体火箭发动机故障诊断方法

Fault diagnosis method for liquid-propellant rocket engines based on the cloud sorter

将液体火箭发动机故障诊断问题转化为故障特征的模式分类问题。针对当前模式分类方法难以处理不确定性信息、属性特征空间的划分过硬等缺陷,结合云模型和云变换研究,提出了一种基于云分类器的液体火箭发动机起动过程故障诊断方法。历次试车数据的验证结果表明,该方法能够及时准确识别发动机起动工作过程中的故障模式。

Through transforming the fault diagnosis into the pattern classification of fault characteristics, a fault diagnosis method was developed, based on the cloud sorter for liquid-propellant rocket engines. The method synthesized the study on cloud model and the cloud transform, which can deal with the uncertainty and the hard partition of domain boundary for the quantitative attributes which exist in the traditional classification methods. Caculation results with test data show that the method can recognize the fault modes in the startup process of the engine timely and precisely.