Abstract: Systems and methods to fuse aviation-related data systems for comprehensive aircraft system health monitoring are provided. One example method includes obtaining, by one or more computing devices, fault data indicative of a plurality of fault indications provided by a first plurality of components of an aircraft. The method includes obtaining, by the one or more computing devices, condition indicators describing the respective operational conditions of a second plurality of components of the aircraft. The method includes fusing, by the one or more computing devices, the fault data with the condition indicators to form a comprehensive data set. The method includes identifying, by the one or more computing devices, one or more causes of the plurality of fault conditions based at least in part on the comprehensive data set. One example system includes a data fuser, a cause identifier, and an alert generator.

Abstract: Systems and methods for formatting aviation data for improved aircraft fault detection, diagnosis, and maintenance are provided. One example method includes determining a plurality of available parameters associated with an aircraft. The method includes matching the plurality of available parameters against a plurality of desired parameters to identify a plurality of matched parameters that are both desired and available. The plurality of matched parameters are useful to perform fault diagnosis and prognosis for the aircraft. The method includes determining a priority level for each of the plurality of matched parameters. The method includes creating a standardized maintenance-optimized data frame configuration based at least in part on the plurality of matched parameters and the priority level for each of the plurality of matched parameters.

Abstract: Systems and methods for formatting aviation data for improved aircraft fault detection, diagnosis, and maintenance are provided. One example method includes determining a plurality of available parameters associated with an aircraft. The method includes matching the plurality of available parameters against a plurality of desired parameters to identify a plurality of matched parameters that are both desired and available. The plurality of matched parameters are useful to perform fault diagnosis and prognosis for the aircraft. The method includes determining a priority level for each of the plurality of matched parameters. The method includes creating a standardized maintenance-optimized data frame configuration based at least in part on the plurality of matched parameters and the priority level for each of the plurality of matched parameters.

Abstract: Systems and methods to fuse aviation-related data systems for comprehensive aircraft system health monitoring are provided. One example method includes obtaining, by one or more computing devices, fault data indicative of a plurality of fault indications provided by a first plurality of components of an aircraft. The method includes obtaining, by the one or more computing devices, condition indicators describing the respective operational conditions of a second plurality of components of the aircraft. The method includes fusing, by the one or more computing devices, the fault data with the condition indicators to form a comprehensive data set. The method includes identifying, by the one or more computing devices, one or more causes of the plurality of fault conditions based at least in part on the comprehensive data set. One example system includes a data fuser, a cause identifier, and an alert generator.