在分析液体火箭发动机故障和粗糙集理论特点的基础上,将粗糙集理论应用于液体火箭发动机热试车数据挖掘中。对某发动机的4组热试车数据进行了分析,将原来的24个属性约简为2个,将原来的213个记录约简为5个和4个,得到了影响液体火箭发动机的所有可能的关键的、决定性的故障检测和诊断因素组合,实现了故障的检测和诊断。
By analyzing the characteristics of the liquid rocket engine and the rough set method, the application of rough set theory to data mining for the hot-firing test data of liquid rocket engine is presented. By investigating 4 groups of hot-firing test data of a certain engine, 24 original attributions are reduced to 2 attributions, 213 records are reduced to 5 or6 records. All possible critical decisive combinations for fault detection and diagnosis of liquid rocket engine are obtained, fault detection and diagnosis for liquid rocket engine are implemented.