A single fault diagnosis and location method of aero-engine actuator and its sensor was proposed. The method was based on actuator model and aero-engine inverse model. A three-order transfer function model of actuator was established according to its closed-loop construction. The aero-engine inverse model was built based on two parallel BP (back propagation) neural network including a steady inverse module and a dynamic compensation module

so the fuel mass flow estimation can be achieved based on the outputs of aero-engine. Fault diagnosis according to the deviation between the actuator model output and the sensor output was adopted. Fault location according to the deviation between the aero-engine inverse model output and the sensor output was used. The simulation results on an aero-engine and its fuel system actuator models show that the fault diagnosis system can diagnose amplitude in more than 1.6% of actuator and its sensor fault and locate it accurately at the steady and dynamic states of aero-engine

which verifies the effectiveness of the proposed method.