飞机压力加油系统实时传感器的信息有效性分析

针对飞机地面压力加油系统传感器的实测信息,提出了实际环境下的传感器信息确认算法.
利用贝叶斯网络(BN) 构造传感器的相互关系,描述了各传感器之间相互依赖与独立的程度,并且对传感器参数进行动态评估,得出了对系统状态的准确判断,用于指导对故障的有效确认. 在地面试验研究过程中,对一起管路严重超压现象进行了成功的判断,证明了该方法的可行性和有效性.
关键词: 压力加油系统;传感器;贝叶斯网络;有效性
Abstract : Aimed at the on - line data f rom sensors of airplane pressure fueling system , an algorithm for sensor validation is presented with the help of Bayesian network (BN) . The degrees of dependence and independence among all the sensors are determined. Then the accurate judgment s to the system state can be deduced to guide the fault isolation. During the experiment s , an incident of pressure overshoot comes forth in the ent rance pipeline connected with the reservoir No. 5 , and the analytical result shows something wrong with the corresponding oil height sensor. Through the succedent detection , the phenomenone that the inner resistance mismatch really occurs in the same sensor , the experiment testifies st rongly that the method described above is feasible and efficient .
Keywords : pressure f ueling system ; sensors ; Bayesian network ; validation