Method and apparatus are disclosed for GNSS statistical speed calibration An example vehicle includes a wheel, a speed sensor for determining a first vehicle speed, an inertial sensor, and a processor. The processor may be configured for determining a second vehicle speed based on information from the inertial sensor and information from a satellite based system, determining that a difference between the first and second vehicle speeds is statistically significant, and responsively adjusting a value of the radius of the wheel.

Methods and systems for testing a sensor of a propeller blade angle position feedback system are described. A sensor signal is received from a sensor at a known position relative to a feedback device, the feedback comprising a ring and at least one pair of position markers spaced from one another around a circumference thereof, the sensor configured for successively detecting passage of the position markers as the feedback device rotates at a known rotational speed and an axial distance between the sensor and the feedback device varies. From the sensor signal a measured position of the sensor relative to the feedback device and a measured rotational speed of the feedback device are determined. The measured position and the measured rotational speed are compared to the known position and the known rotational speed to determine a sensor accuracy.

Methods and systems are provided for utilization of vehicle speed and barometric pressure sensors. In one example, a method may include measuring a change in a barometric pressure resulting from a measured change in a vehicle speed, modeling the change in the barometric pressure based on a change in a ram-air pressure resulting from the change in the vehicle speed, and indicating a degraded barometric pressure measurement when a difference between the measured and the modeled change in the barometric pressure is greater than a threshold pressure difference.

Methods and systems are provided for utilization of vehicle speed and barometric pressure sensors. In one example, a method may include measuring a change in a barometric pressure resulting from a measured change in a vehicle speed, modeling the change in the barometric pressure based on a change in a ram-air pressure resulting from the change in the vehicle speed, and indicating a degraded barometric pressure measurement when a difference between the measured and the modeled change in the barometric pressure is greater than a threshold pressure difference.

Embodiments of the present disclosure provide a method and apparatus for determining a velocity of an obstacle, a device, and a medium. An implementation includes: acquiring a first point cloud data of the obstacle at a first time and a second point cloud data of the obstacle at a second time; registering the first point cloud data and the second point cloud data by moving the first point cloud data or the second point cloud data; and determining a moving velocity of the obstacle based on a distance between two data points in a registered data point pair.

A sensor system for sensing movement of an object, including: a first sensor providing a first signal along a first signal path on a semiconductor chip, the first signal being used to determine a first characteristic of the movement; a second sensor providing a second signal along a second signal path on the semiconductor chip, the second signal being used to determine a second characteristic of the movement; and an alarm circuit configured to issue a fault warning when there is a violation of a predefined relationship between the first signal and the second signal based on a missing or additional portion of the first signal or the second signal.

A sensor system for sensing movement of an object, including: a first sensor providing a first signal along a first signal path on a semiconductor chip, the first signal being used to determine a first characteristic of the movement; a second sensor providing a second signal along a second signal path on the semiconductor chip, the second signal being used to determine a second characteristic of the movement; and an alarm circuit configured to issue a fault warning when there is a violation of a predefined relationship between the first signal and the second signal based on a missing or additional portion of the first signal or the second signal.

A control system is provided for a turbine valve. The turbine valve has a first coil and a second coil to control or sense movement of a mechanical valve positioner. Two valve positioners are provided with each valve positioner having two drive circuits to drive the first and second coils. Switches are provided such that only one drive circuit is connected to each coil at a time. The control system may also include a hydraulic pilot valve section and a main hydraulic valve section. Feedbacks are used to determine a pilot valve error and a main valve error which are combined to determine a turbine valve error. The turbine valve error is repeatedly determined to minimize the error.

Systems and methods are disclosed for voltage-less electrical signature analysis for fault protection. The systems and methods described herein may involve determining voltage values for a motor (which may then be used to estimate a speed of the motor) when complete voltage measurements may not be available, or may only be temporarily available. More specifically, the systems and methods described herein may address three scenarios, which may include at least: (1) when only a single phase voltage input is available for a three-phase motor, (2) when no voltage input is available, or (3) when a voltage input is only available for a limited period of time (for example, during a learning phase of the motor).

A sensor calibration system includes a controller configured to receive a first electrical output generated by a sensor while submitted to a first input condition and a second electrical output generated by the sensor while submitted to a second input condition. The first and second electrical outputs represent lower and upper limits, respectively, of a sensor measurement range. The controller obtains a first reference value that corresponds to the lower limit and a second reference value that corresponds to the upper limit, and determines a drift function of the sensor based on a value of the first electrical output, a value of the second electrical output, the first reference value, and the second reference value. The controller inputs a value of a raw electrical output generated by the sensor into the drift function to determine an adjusted value of the raw electrical output.