Analyzed Data from Flight Data Recorders Alerts Airlines and Maintenance of Imminent Breakdowns

Current flight aviation safety uses fixed exceedances. An error is flagged only if a certain value exceeds a set error threshold. But it’s possible to use the data from current sensors and Flight Data Recorders (FDR) in a much more effective way.

Predictive Aviation Analytics’ proprietary software processes inflight data and analyzes it post flight. Data is collected directly from flight data recorders via mobile devices and uploaded onto central servers via Wi-Fi/Bluetooth, cellular networks, satellite etc. It requires no new hardware to be added to the plane.

The software increases safety and cuts costs. It identifies unsafe operator anomalies that may indicate a high probability for a catastrophic event to occur. It also identifies failing critical aircraft components in time to replace them prior to failure.

Use Artificial Intelligence for Increased Safety and Reduced Costs

Predictive Aviation Analytics uses compiled flight data from the past to “teach” the computer what sensor information is normal and what sensor information indicates problems. As the program continues to receive data and accurately diagnose high-probability failure, it continues to improve its performance.

This neural network technology learns what values are outliers, and can form connections between different pieces of data to offer a more robust detection of errors and outliners.

The program’s ability to diagnose potential problems far exceeds those of current evaluative software. Predictive Aviation used 1.33% of the data available to the current leading predictive models (FDM/FOQA models) and still outperformed them by up to 70%.

As the program identifies a high-potential danger, it gives avionics mechanics enough data to narrow down the short list of causes for the problems, saving them diagnostic steps.

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