| 液体火箭发动机故障的数值型关联规则挖掘 |
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| 引用本文： | 李京浩,胡小平,韩泉东.液体火箭发动机故障的数值型关联规则挖掘[J].火箭推进,2007,33(2):7-11,58. |
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| 作者姓名： | 李京浩 胡小平 韩泉东 |
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| 作者单位： | 国防科技大学,航天与材料工程学院,湖南,长沙,410073 |
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| 基金项目： | 国家自然科学基金资助项目(50376073)。 |
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| 摘 要： | 数值型关联规则的算法大多是将多值属性关联规则挖掘问题转化为布尔型关联规则挖掘问题,而连续属性的离散化是数值型关联规则的核心问题。本文基于数值型关联规则的理论,用一种数理统计的方法进行连续属性的离散化。将该方法应用于某大型液体火箭发动机稳态段的热试车数据,然后利用FP-Growth算法对其进行测试,挖掘出了故障数据,进而验证了其可行性。
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| 关 键 词： | 液体推进剂火箭发动机 故障诊断 数值型关联规则 FP-Growth算法 |
| 修稿时间： | 2006-11-142007-01-11 |
Mining quantitative association rules of liquid propellant rocket engine |
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| Li Jinghao,Hu Xiaoping,Han Quandong.Mining quantitative association rules of liquid propellant rocket engine[J].Journal of Rocket Propulsion,2007,33(2):7-11,58. |
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| Authors: | Li Jinghao Hu Xiaoping Han Quandong |
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| Institution: | College of Aerospace and Material Engineering, NUDT, Changsha 410073, China |
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| Abstract: | Most quantitative association rules transform mining association rules of numeric property into boolean property,and the kernel problem is to divide the numeric data into intervals. Based on the theory of quantitative association rules, the numeric data is divided into intervals with statistical method. This method is applied to the measured steady data of a large -scale liquid propellant rocket engine and tested with FP-Growth arithmetic. The fault data is mined and the feasibility of the method is verified. |
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| Keywords: | liquid propellant rocket engine fault diagnosis quantitative association rules FP-Growth arithmetic |
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