Abstract: Generally discussed herein are devices, systems, and methods for predicting fan failure. A method includes providing, to a first NN that models nominal behavior of a first fan and provides a value indicating a first amount of deviation from nominal as an output, first parameters of fan operation of the first fan, receiving, from the first NN and responsive to the first parameters, first data indicating the first amount of deviation from nominal, providing, to a second NN that models nominal behavior of a second fan and provides a value indicating a second amount of deviation from nominal as an output, second parameters of fan operation of the second fan, receiving, from the second NN and responsive to the first parameters, second data indicating the second amount of deviation from nominal, and estimating that the first or second fan has failed by comparing the first and second data.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for radar data processing. In some examples, the method includes determining a plurality of substantially equally spaced frequency intervals within radar data based on an interval size; transforming parts of the radar data within each of the plurality of substantially equally spaced frequency intervals; determining a magnitude of each of the transformed parts of the radar data; and summing the magnitude for each of the transformed parts of the radar data to form adaptive radar data. The adaptive radar data can have a higher signal-to-noise ratio than the radar data.