液体火箭发动机故障诊断的最优回归方法
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An Optimal Regression Approach to Fault Diagnosis of Liquid Rocket Engin
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    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。

    Abstract:

    An optimal regression approach to fault diagnosis of liquid rocket engine is presented in this paper,which can diagnose a number of faults with fewer measurements. When the kinds of fault are fewer and the faults are not serious,rather satisfactory results of fault isolation and fault severity 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 the faults are serious,the diagnostic effect decreases somewhat. This indicates that the result of this method is satisfactory at a wide value range of fault factors.

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朱恒伟,黄卫东,王克昌,等.液体火箭发动机故障诊断的最优回归方法[J].国防科技大学学报,1998,20(1):14-17.
Zhu Hengwei, Huang Weidong, Wang Kechang, et al. An Optimal Regression Approach to Fault Diagnosis of Liquid Rocket Engin[J]. Journal of National University of Defense Technology,1998,20(1):14-17.

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  • 收稿日期:1996-12-19
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  • 在线发布日期: 2014-01-03
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