| 引用本文: | 彭小辉,刘垠杰,程玉强,等.基于云分类器的液体火箭发动机故障诊断方法.[J].国防科技大学学报,2013,35(6):15-19.[点击复制] |
| PENG Xiaohui,LIU Yinjie,CHENG Yuqiang,et al.Fault diagnosis method for liquid-propellant rocket engines based on the cloud sorter[J].Journal of National University of Defense Technology,2013,35(6):15-19[点击复制] |
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| 基于云分类器的液体火箭发动机故障诊断方法 |
| 彭小辉, 刘垠杰, 程玉强, 吴建军 |
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(国防科技大学 航天科学与工程学院， 湖南 长沙 410073)
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| 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。 |
| 关键词: 液体火箭发动机 故障诊断 云模型 云分类器 |
| DOI： |
| 投稿日期：2013-05-12 |
| 基金项目:国家自然科学基金资助项目（51206181） |
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| Fault diagnosis method for liquid-propellant rocket engines based on the cloud sorter |
| PENG Xiaohui, LIU Yinjie, CHENG Yuqiang, WU Jianjun |
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(College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China)
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| Abstract: |
| 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. |
| Keywords: liquid-propellant rocket engine fault diagnosis cloud model cloud sorter |
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