| Citation: | SUN Hao, GUO Yingqing, ZHAO Wanliet al. Information reconstruction algorithm of aero-engine sensors and actuators[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(2): 331-339. doi: 10.13700/j.bh.1001-5965.2019.0240(in Chinese)
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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.
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