Abstract: A system and method for monitoring and diagnosis of engine health are provided. In one aspect, a system receives continuous operating data (COD) associated with an asset. The COD includes parameter values for one or more parameters over a collection time period. The system generates synthetic snapshot data based at least in part on the COD. The synthetic snapshot data includes one or more synthetic snapshots each containing the parameter values for the one or more parameters for a given timepoint within the collection time period. The system also receives snapshot data associated with the asset. The snapshot data includes one or more snapshots each containing parameter values for the one or more parameters for a given timepoint. The system generates an output indicating a health status of the asset or one or more components thereof based at least in part on the snapshot data and the synthetic snapshot data.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate aviation engine inspection are provided. In one embodiment, a computer-implemented method comprises: generating, by a system operatively coupled to a processor, a digital grid and visual layer overlay on a raw video feed from borescope inspections; analyzing, by the system, the video feed and identifying frames that capture information of part damage and defects; and classifying, by the system, type of part defect, determining location of defect and learning the digital grid.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate aviation engine inspection are provided. In one embodiment, a computer-implemented method comprises: generating, by a system operatively coupled to a processor, a digital grid and visual layer overlay on a raw video feed from borescope inspections; analyzing, by the system, the video feed and identifying frames that capture information of part damage and defects; and classifying, by the system, type of part defect, determining location of defect and learning the digital grid.