An unmanned aerial vehicle (UAV) test bench, which falls within the technical field of UAV test, comprising a support component, a universal rotating component, a fixed component and a return component: the universal rotating component slides along the Z direction and is arranged on the support component, and one end of the universal rotating component can rotate in a universal way relative to the other end of the universal rotating component. The fixed component is connected to one end of the universal rotating component, and the fixed component is configured to fix the UAV. One end of the return component is connected to the support component, the other end is connected to the other end of the universal rotating component, and the return component is configured to drive the universal rotating component and the fixed component to reset.

An unmanned aerial vehicle (UAV) test bench, which falls within the technical field of UAV test, comprising a support component, a universal rotating component, a fixed component and a return component: the universal rotating component slides along the Z direction and is arranged on the support component, and one end of the universal rotating component can rotate in a universal way relative to the other end of the universal rotating component. The fixed component is connected to one end of the universal rotating component, and the fixed component is configured to fix the UAV. One end of the return component is connected to the support component, the other end is connected to the other end of the universal rotating component, and the return component is configured to drive the universal rotating component and the fixed component to reset.

A fault resilient airborne network includes a plurality of aircraft system components installed within an aircraft and at least one agent in communication with the plurality of aircraft system components during in-flight operation of the aircraft. The at least one agent is configured to monitor an aircraft system component for a fault, observe a fault within the aircraft system component, and provide reconfiguration instructions to the aircraft system component in response to the observed fault. The at least one agent is further configured to predict a life expectancy of the aircraft system component using machine learning models while monitoring the aircraft system component for a fault, and provide reconfiguration instructions to the aircraft system component when the life expectancy of the aircraft system component meets a threshold. The reconfiguration instructions are configured to cause an adjustment in at least some of the plurality of aircraft system components.

A fault resilient airborne network includes a plurality of aircraft system components installed within an aircraft and at least one agent in communication with the plurality of aircraft system components during in-flight operation of the aircraft. The at least one agent is configured to monitor an aircraft system component for a fault, observe a fault within the aircraft system component, and provide reconfiguration instructions to the aircraft system component in response to the observed fault. The at least one agent is further configured to predict a life expectancy of the aircraft system component using machine learning models while monitoring the aircraft system component for a fault, and provide reconfiguration instructions to the aircraft system component when the life expectancy of the aircraft system component meets a threshold. The reconfiguration instructions are configured to cause an adjustment in at least some of the plurality of aircraft system components.

A method for calibrating a device for measuring a mass of fuel carried by an aircraft by: receiving a message containing a reference permittivity, a reference density and a reference volume, determining a first calibration coefficient as a function of the reference permittivity, determining a second calibration coefficient as a function of the reference volume, determining a third coefficient of calibration as a function of the reference density, determining a calibrated mass of fuel as a function of a determined height of fuel corrected as a function of the first calibration coefficient, a volume of fuel determined as a function of the corrected height and corrected as a function of the second calibration coefficient, and a mass of fuel determined as a function of the corrected volume and corrected as a function of the third calibration coefficient.

A method for calibrating a device for measuring a mass of fuel carried by an aircraft by: receiving a message containing a reference permittivity, a reference density and a reference volume, determining a first calibration coefficient as a function of the reference permittivity, determining a second calibration coefficient as a function of the reference volume, determining a third coefficient of calibration as a function of the reference density, determining a calibrated mass of fuel as a function of a determined height of fuel corrected as a function of the first calibration coefficient, a volume of fuel determined as a function of the corrected height and corrected as a function of the second calibration coefficient, and a mass of fuel determined as a function of the corrected volume and corrected as a function of the third calibration coefficient.

A method includes obtaining sensor data captured by a sensor of an aircraft during a power up event. The sensor data includes multiple parameter values, each corresponding to a sample period. The method further includes determining a set of delta values, each indicating a difference between parameter values for consecutive sample periods of the sensor data. The method further includes determining a set of quantized delta values by assigning the delta values to quantization bins based on magnitudes of the delta values. The method further includes determining a normalized count of delta values for each quantization bin. The method further includes comparing the normalized counts of delta values to anomaly detection thresholds. The method further includes generating, based on the comparisons, output indicating whether the sensor data is indicative of an operational anomaly.

A method includes obtaining sensor data captured by a sensor of an aircraft during a power up event. The sensor data includes multiple parameter values, each corresponding to a sample period. The method further includes determining a set of delta values, each indicating a difference between parameter values for consecutive sample periods of the sensor data. The method further includes determining a set of quantized delta values by assigning the delta values to quantization bins based on magnitudes of the delta values. The method further includes determining a normalized count of delta values for each quantization bin. The method further includes comparing the normalized counts of delta values to anomaly detection thresholds. The method further includes generating, based on the comparisons, output indicating whether the sensor data is indicative of an operational anomaly.

A method for monitoring a shock strut may comprise measuring a first shock strut pressure, measuring an ambient temperature, measuring a shock strut stroke, measuring a second shock strut pressure, and determining a servicing condition of the shock strut based upon the first shock strut pressure, the ambient temperature, the shock strut stroke, and the second shock strut pressure, wherein the servicing condition indicates whether it is desirable for the shock strut to be serviced with at least one of a liquid and a gas. The first shock strut pressure and the shock strut stroke may be measured before the takeoff event with a weight of an aircraft supported by the shock strut.

A method for monitoring a shock strut may comprise measuring a first shock strut pressure, measuring an ambient temperature, measuring a shock strut stroke, measuring a second shock strut pressure, and determining a servicing condition of the shock strut based upon the first shock strut pressure, the ambient temperature, the shock strut stroke, and the second shock strut pressure, wherein the servicing condition indicates whether it is desirable for the shock strut to be serviced with at least one of a liquid and a gas. The first shock strut pressure and the shock strut stroke may be measured before the takeoff event with a weight of an aircraft supported by the shock strut.