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In order to solve the problem of complicated design and difficult parameter solving for the fault diagnosis method of satellite attitude control system based on analytic model, a new method of gyro fault diagnosis based on neural network observer is proposed. The fault diagnosis logic is derived from the redundancy relationship in the system to detect and isolate the fault of the gyroscope. At the same time, the fault of the gyroscope is estimated by using the prior model knowledge and the nonlinear modeling characteristics of the neural network. Simulation results show that the method can detect, isolate and estimate gyro faults.