The present paper applies the geometric linear parameter-varying (LPV) fault detec- tion methods to a high-fidelity commercial aircraft problem. The successive steps of the design, including fault modeling, LPV model generation, and LPV FDI filter synthesis are discussed. Geometric fault detection and isolation filters are known for having excellent fault isolation, fault reconstruction and sensitivity properties under small modeling uncer- tainty and noise. However they are assumed to be sensitive to model uncertainty and noise, hence an investigation is made to assess the robustness properties of the proposed design framework. The novelty of the present paper is in the application of robust post-filtering of the raw LPV fault detection residual, by applying an H1 output injection gain to the nominal fault detection filter. To asses the performance of the geometric filter, an aircraft dynamics example is presented, where aileron actuator faults are detected and isolated from additional elevator and rudder fault cases.