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

作　　者：彭小辉[1] 刘垠杰[1] 程玉强[1] 吴建军[1] 

机构地区：[1]国防科技大学航天科学与工程学院,湖南长沙410073

出　　处：《国防科技大学学报》2013年第6期15-19,共5页Journal of National University of Defense Technology

基　　金：国家自然科学基金资助项目(51206181)

摘　　要：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.

关 键 词：液体火箭发动机 故障诊断 云模型 云分类器 

分 类 号：TP316[自动化与计算机技术—计算机软件与理论]