引用本文: | 胡小平,韩泉东,李京浩.结合动态时间弯曲与决策树方法的液体火箭发动机故障诊断.[J].国防科技大学学报,2007,29(4):1-5.[点击复制] |
HU Xiaoping,HAN Quandong,LI Jinghao.Fault Diagnosis of Liquid Rocket Engine by Dynamic Time Warping Combined with Decision Tree Method[J].Journal of National University of Defense Technology,2007,29(4):1-5[点击复制] |
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结合动态时间弯曲与决策树方法的液体火箭发动机故障诊断 |
胡小平, 韩泉东, 李京浩 |
(国防科技大学 航天与材料工程学院,湖南 长沙 410073)
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摘要: |
对某大型液体火箭发动机的热试车数据及通过发动机模型仿真得到的故障数据进行动态时间弯曲分析,得到弯曲路径集,然后结合决策树方法进行了故障检测和诊断。对于故障试车没有出现漏报警和误报警,对于正常试车没有出现误报警。通过与神经网络、支持向量机等方法所得结果的对比,证明该方法可以成功地应用于火箭发动机的故障检测和诊断。 |
关键词: 液体火箭发动机 故障检测和诊断 数据挖掘 动态时间弯曲 决策树 |
DOI: |
投稿日期:2007-01-28 |
基金项目:国家自然科学基金资助项目(50376073) |
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Fault Diagnosis of Liquid Rocket Engine by Dynamic Time Warping Combined with Decision Tree Method |
HU Xiaoping, HAN Quandong, LI Jinghao |
(College of Aerospace and Materials Engineering, National Univ. of Defense Technology, Changsha 410073, China)
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Abstract: |
Through dynamic time warping analysis to the hot-fire test data and simulated fault data of a certain liquid rocket engine, the warped path sets were obtained. Combined with the decision tree method, fault detection and diagnosis were carried out. Results show that there were no failing report and no misstatement for fault tests, and no misstatement for normal tests. Compared with those results by ANN and SVM methods, the successful application of the dynamic time warping method combined with decision tree was proved. |
Keywords: liquid rocket engine fault detection and diagnosis data mining dynamic time warping decision tree |
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