| 支持向量机用于液体火箭发动机的故障诊断 |
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| 引用本文： | 何浩,胡小平,姜志杰,刘伟强.支持向量机用于液体火箭发动机的故障诊断[J].火箭推进,2008,34(3):7-12. |
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| 作者姓名： | 何浩 胡小平 姜志杰 刘伟强 |
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| 作者单位： | 国防科技大宇航天与材料工程学院,湖南,长沙,410073 |
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| 摘 要： | 支持向量机（Support Vector Machine,简称SVM）是一种基于机器学习的模式分类算法,其在解决小样本、非线性及高维模式识别等问题中都表现出许多特有的优势。用SVM对液体火箭发动机的故障数据进行检测和诊断。通过对发动机仿真模型的9种故障数据的学习,能检测出18组故障数据中的17组,但有4组出现误报,对误报故障进行二次学习和再检测,能对这4种故障正确检测。经过对C75试车4种故障数据的学习,能正确检测其故障类型,进一步验证了该方法的正确性和可行性。
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| 关 键 词： | 支持向量机 液体火箭发动机 故障诊断 模式识别 |
SVM implemented in fault diagnosis of liquid rocket engine |
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| He Hao,Hu Xiaoping,Jiang Zhijie,Liu Weiqiang.SVM implemented in fault diagnosis of liquid rocket engine[J].Journal of Rocket Propulsion,2008,34(3):7-12. |
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| Authors: | He Hao Hu Xiaoping Jiang Zhijie Liu Weiqiang |
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| Institution: | He Hao,Hu Xiaoping,Jiang Zhijie,Liu Weiqiang (Inst. of Aerospace , Material Engineering,National Univ. of Defense Technology,Changsha 410073,China) |
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| Abstract: | SVM which is based on machine learning algorithm is a method for pattern classification. The advantage of SVM is to solve the small samples, no-liner and pattern recognition with high dimension. In this paper, the method of SVM is used in fault diagnosis for the data of practical LRE trial run and simulated model. The SVM classifier detects the four faults of heat run completely. Among the eighteen groups of simulated model data, seventeen groups of them can be detected, although incorrect warnings are happ... |
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| Keywords: | SVM liquid rocket engine fault diagnosis pattern recognition |
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