摘要
提出了一种基于最优回归理论的液体火箭发动机故障诊断方法,可以在测量参数较少的情况下诊断出较多的发动机故障。当发动机故障不太严重、故障因素也不多时,得到比较满意的关于故障定位和故障大小的结果;在发动机故障比较严重的情况下,仍能得到比较好的故障定位结果;当存在多个故障因素时,诊断效能有所下降。结果表明本文所提方法在比较大的范围之内具有良好的效果。
An optimal regression approach to fault diagnosis of liquid rocket engine is presentedin this paper, which can diagnose a number of faults with fewer measurements. When the kinds offault are fewer and the faults are not serious, rather satisfactory results of fault isolation and faultseventy estimation are obtained. When the kinds of fault are fewer and the faults are serious, this approach still gives rather good fault isolation result. When there exist several kinds of fault and thefaults are serious, the diagnostic effect decreases somewhat. This indicates that the result of thismethod is satisfactory at a wide value range of fault factors.
出处
《国防科技大学学报》
EI
CAS
CSCD
1998年第1期14-17,共4页
Journal of National University of Defense Technology
关键词
火箭发动机
故障诊断
线性回归
液体推进剂
liquid propellant rocket engine, fault diagnosis, linear regression, linearized model