Machine-learning-based flight data parameter estimation

Abstract

An aircraft includes airstream sensors configured to generate airstream data representing measurements of a diverse set of airstream parameters. The aircraft also includes processor(s) configured to provide input data to multiple machine-learning (ML) regression models to generate output data values. The input data provided to each ML regression model is based on the airstream data and represents two or more different airstream parameters, and each output data value represents an estimated value of a flight data parameter. The processor(s) are configured to provide output data values from two or more of the ML regression models to an ensembler to generate a unified output value indicating a unified estimate of the flight data parameter. The processor(s) are configured to generate an output based on a comparison of a procedurally determined computed value of the flight data parameter and the unified output value.