Abstract: Systems and methods to manage aircraft dispatch information are provided. A particular method includes receiving fault information at a dispatch information computing system. The fault information is associated with an aircraft. The method also includes accessing operational restriction information associated with the aircraft based on the fault information. The method further includes automatically determining a set of bottom line operational limitations of the aircraft based on the fault information and the operational restriction information. The method also includes generating customized checklists for the various users of the information. The method also includes sending output data from the dispatch information computing system to an output device. The output data identifies the set of bottom line operational limitations of the aircraft and tasks to be completed by the various users.

Abstract: Systems and methods to manage aircraft dispatch information are provided. A particular method includes receiving fault information at a dispatch information computing system. The fault information is associated with an aircraft. The method also includes accessing operational restriction information associated with the aircraft based on the fault information. The method further includes automatically determining a set of bottom line operational limitations of the aircraft based on the fault information and the operational restriction information. The method also includes generating customized checklists for the various users of the information. The method also includes sending output data from the dispatch information computing system to an output device. The output data identifies the set of bottom line operational limitations of the aircraft and tasks to be completed by the various users.

Abstract: A method, system, and apparatus, for providing audio feedback regarding the operation of an aircraft. In one aspect, microphones are placed next to sound sources, which could be components of the aircraft. Audio inputs are received from the microphone and analyzed based on a psycho-acoustic model to provide settings, such as level, pan, and equalization, to an automatic mixer. The automatic mixer mixes the sounds based on the settings and provides audio output to the pilot of the aircraft. The pilot can then use the audio output to more effectively monitor the operations of the aircraft components, which might otherwise be difficult or impossible to hear.

Abstract: A method and system compares combinations of vehicle or aircraft state variables against known combinations of potentially dangerous states. Alarms and error messages are selectively generated based on such comparisons. In one embodiment, pairs of aircraft state variables are selected and compared to known undesirable pairs of state combinations that indicate an error or a condition that a crew should monitor closely. The combinations and error messages are provided by the database. The comparisons are conducted on a periodic basis monitoring real time states of the parameters collected from various sensors and commands. Experts considering a matrix that provides an exhaustive pairwise comparison of potentially important state variables initially identify undesirable state combinations. Error messages and identification of potential alarms are generated based on both knowledge of actual accidents, and on use of expert knowledge to predict potentially dangerous states.

Abstract: A method and system compares combinations of vehicle or aircraft state variables against known combinations of potentially dangerous states. Alarms and error messages are selectively generated based on such comparisons. In one embodiment, pairs of aircraft state variables are selected and compared to known undesirable pairs of state combinations that indicate an error or a condition that a crew should monitor closely. The combinations and error messages are provided by the database. The comparisons are conducted on a periodic basis monitoring real time states of the parameters collected from various sensors and commands. Experts considering a matrix that provides an exhaustive pairwise comparison of potentially important state variables initially identify undesirable state combinations. Error messages and identification of potential alarms are generated based on both knowledge of actual accidents, and on use of expert knowledge to predict potentially dangerous states.