A system for dynamically adjusting an operation of a magnetostrictive position sensor is provided. The system includes a controller configured to receive an electrical signal from the magnetostrictive position sensor that includes a response pulse, identify factory calibration data that correlates initial recorded values of amplitudes of response pulses received from the magnetostrictive position sensor at different locations of a position magnet along a length of the magnetostrictive position sensor, identify an initial amplitude of the response pulse based on the factory calibration data, calculate a difference between the initial amplitude and an amplitude of the response pulse, determine if the difference is greater than a threshold value, and generate an alert in response to determining that the difference is greater than the threshold value.

Methods, systems, and non-transitory computer readable medium are described for sensor metrology data integration. A method includes receiving sets of sensor data and sets of metrology data. Each set of sensor data includes corresponding sensor values associated with producing corresponding product by manufacturing equipment and a corresponding sensor data identifier. Each set of metrology data includes corresponding metrology values associated with the corresponding product manufactured by the manufacturing equipment and a corresponding metrology data identifier. The method further includes determining common portions between each corresponding sensor data identifier and each corresponding metrology data identifier. The method further includes, for each of the sensor-metrology matches, generating a corresponding set of aggregated sensor-metrology data and storing the sets of aggregated sensor-metrology data to train a machine learning model. The trained machine learning model is capable of generating one or more outputs for performing a corrective action associated with the manufacturing equipment.

Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

A sensor system and method use channel information to generate redundant angle measurements for sensing rotation of magnets about a given axis of rotation. It was observed that magnetic field strength on a circle, centered on the axis of rotation but in a plane perpendicular to it, have a component parallel to the axis that varies sinusoidally as a function of the angle around the circle. By placing magnetic field sensors equiangularly around such a circle, and summing their field strengths with appropriate weights, the angle of magnet rotation may be computed in a manner that is immune to the presence of stray fields. Moreover, fewer than all channels of sense data may be combined to form redundant estimates of the angle of rotation, to permit continued operation when one of the sensors has failed.

A sensor system and method use channel information to generate redundant angle measurements for sensing rotation of magnets about a given axis of rotation. It was observed that magnetic field strength on a circle, centered on the axis of rotation but in a plane perpendicular to it, have a component parallel to the axis that varies sinusoidally as a function of the angle around the circle. By placing magnetic field sensors equiangularly around such a circle, and summing their field strengths with appropriate weights, the angle of magnet rotation may be computed in a manner that is immune to the presence of stray fields. Moreover, fewer than all channels of sense data may be combined to form redundant estimates of the angle of rotation, to permit continued operation when one of the sensors has failed.

Methods and systems are disclosed for cross-validating a second sensor with a first sensor. Cross-validating the second sensor may include obtaining sensor readings from the first sensor and comparing the sensor readings from the first sensor with sensor readings obtained from the second sensor. In particular, the comparison of the sensor readings may include comparing state information about a vehicle detected by the first sensor and the second sensor. In addition, comparing the sensor readings may include obtaining a first image from the first sensor, obtaining a second image from the second sensor, and then comparing various characteristics of the images. One characteristic that may be compared are object labels applied to the vehicle detected by the first and second sensor. The first and second sensors may be different types of sensors.

An alignment device may obtain a set of analog-to-digital converter (ADC) signals provided by an angle sensor operating in a homogeneous test mode. The set of ADC signals may be associated with a rotation of a target magnet relative to the angle sensor. The alignment device may identify a maximum ADC signal value based on the set of ADC signals. The alignment device may selectively position, by the alignment device, at least one of the angle sensor or the target magnet based on the maximum ADC signal value.

An alignment device may obtain a set of analog-to-digital converter (ADC) signals provided by an angle sensor operating in a homogeneous test mode. The set of ADC signals may be associated with a rotation of a target magnet relative to the angle sensor. The alignment device may identify a maximum ADC signal value based on the set of ADC signals. The alignment device may selectively position, by the alignment device, at least one of the angle sensor or the target magnet based on the maximum ADC signal value.

An apparatus includes a sampling circuit to sample input from a sensor circuit. The input includes a cosine coil waveform and a sine coil waveform. The sampling circuit is to generate a cosine coil sampled data stream and a sine coil sampled data stream. The apparatus includes an adjustment circuit to, based upon a characterization of the sensor circuit, delay the cosine coil sampled data stream or the sine coil sampled data stream.