Abstract: A method for an automated aircraft landing analysis including: receiving one or more aircraft landing performance parameters for one or more landing phases; determining a landing performance deviation for each of the one or more landing phases in response to the one or more aircraft landing performance parameters; identifying at least one of a system fault, a failure, and a pilot error that could have led to the landing performance deviations for each of the one or more landing phases; developing a fault tree for the landing performance deviations for each of the one or more landing phases; identifying measurable parameters, calculable parameters, inferable parameters, or observable parameters within the fault tree; converting the fault tree into a high level reasoning model using a standard inference methodology; performing a root cause analysis; identifying a root cause of the landing performance deviation; and displaying the root cause of landing performance deviation.

Abstract: Embodiments include techniques for an automated aircraft landing analysis, the techniques includes requesting landing information corresponding to a current landing, wherein the landing information includes historic average landing information, and receiving the landing information. Techniques also include retrieving recorded aircraft system parameters corresponding to the current landing, and calculating a landing distance for the current landing. Techniques include calculating a deviation of the calculated landing distance for the current landing, and displaying results of the calculated deviation.

Abstract: A method for an automated aircraft landing analysis including: receiving one or more aircraft landing performance parameters for one or more landing phases; determining a landing performance deviation for each of the one or more landing phases in response to the one or more aircraft landing performance parameters; identifying at least one of a system fault, a failure, and a pilot error that could have led to the landing performance deviations for each of the one or more landing phases; developing a fault tree for the landing performance deviations for each of the one or more landing phases; identifying measurable parameters, calculable parameters, inferable parameters, or observable parameters within the fault tree; converting the fault tree into a high level reasoning model using a standard inference methodology; performing a root cause analysis; identifying a root cause of the landing performance deviation; and displaying the root cause of landing performance deviation.

Abstract: Embodiments include techniques for an automated aircraft landing analysis, the techniques includes requesting landing information corresponding to a current landing, wherein the landing information includes historic average landing information, and receiving the landing information. Techniques also include retrieving recorded aircraft system parameters corresponding to the current landing, and calculating a landing distance for the current landing. Techniques include calculating a deviation of the calculated landing distance for the current landing, and displaying results of the calculated deviation.