The control system is the key to ensuring the stability and effectiveness of the aeroengine within the flight envelope. Due to the particular operating environment, prone sensor faults have a significant impact on the control performance. Considering the model uncertainty, a robust fault diagnosis method is proposed based on a linear parameter varying (LPV) robust filter. According to the multi-condition LPV engine model, the LPV robust filter is constructed. Then, the filter gain matrix is designed by combining with the H_∞/H_ theory so that the residuals have a minimum upper bound and a maximum upper bound on the uncertainties and faults, respectively, to balance the robustness and sensitivity. Finally, the filter solution is transformed into linear matrix inequalities. Simulation results show the effectiveness of the proposed method for sensor fault detection.