航天推进技术研究院主办
Li Jinghao,Hu Xiaoping,Han Quandong.Mining quantitative association rules of liquid propellant rocket engine[J].Journal of Rocket Propulsion,2007,33(02):7-11.
液体火箭发动机故障的数值型关联规则挖掘
- Title:
- Mining quantitative association rules of liquid propellant rocket engine
- 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
- 分类号:
- V463.6
- 文献标志码:
- A
- 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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备注/Memo
国家自然科学基金资助项目(50376073)。