Data-Driven Model to Predict Aircraft Vibration Environment

What is it about?

Specifying the vibration levels that onboard equipment must be able to withstand throughout their life is a critical step in aircraft design. We propose a data-driven methodology that leverages the high sample rate flight test accelerometer data to produce a predictive model. This work has notable applications in anomaly detection and vibration flight envelope opening.

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