航空发动机传感器与执行机构信息重构算法

为实现航空发动机传感器与执行结构在故障情形下的故障幅值估计及信息重构，缓解故障对发动机性能的影响，在已有故障检测和故障隔离算法的基础上，提出一种基于修正的广义似然比（GLR）方法的信息重构算法。针对某型民用涡扇发动机的传感器与执行机构发生恒偏差与漂移故障的情形下进行了仿真验证。结果表明:基于修正的GLR方法对传感器和执行机构恒偏差和漂移故障的故障幅值估计具有较高的精度，两种故障情形下故障幅值的估计值的均方根误差均不超过0.005，故障部件信息重构后故障对系统性能的影响得到有效缓解。 

Information reconstruction algorithm of aero-engine sensors and actuators

In order to realize the fault magnitude estimation and information reconstruction of aero-engine sensor and actuator in fault condition and to accommodate the influence of fault on engine performance, based on the fault detection and fault isolation algorithms, a reconstruction algorithm based on a modified generalized likelihood ratio (GLR) method is proposed. Aimed at the constant deviation fault and drift fault of sensors and actuators of a certain type of civil turbofan engine, a simulation experiment was implemented. The simulation results show that the modified GLR method has higher accuracy for fault magnitude estimation of sensors and actuators with constant deviation and drift fault. The root mean square error of the fault magnitude estimation does not exceed 0.005 in both fault types. And after the information reconstruction of fault component, the effect of the fault on the system performance is effectively accommodated.