A method for automatic calibration of a camshaft sensor for a motor vehicle. The sensor includes a processing module configured to generate, from a raw signal indicative of the variations in a magnetic field which are caused by the rotation of a toothed target and measured by a cell, an output signal indicative of the moments at which the teeth pass past the cell. The calibration method makes it possible, for each tooth, to determine a switching threshold not only as a function of a local minimum and of a local maximum for the tooth during the preceding revolution of the target, but also as a function of a corrective value calculated from a local maximum and/or a local minimum of the raw signal during the passage of a preceding tooth past the cell during a new revolution.

A method for automatic calibration of a camshaft sensor for a motor vehicle engine. The sensor includes a processing module configured to generate, from a raw signal indicative of the variations in a magnetic field which are caused by a rotation of a target and measured by a primary cell, an output signal indicative of the moments at which teeth of the target pass past the primary cell. The sensor further includes two secondary measurement cells. The calibration method therefore makes it possible to determine two different switching thresholds for each tooth from a differential signal indicative of a difference in magnetic field measurement by the secondary cells. Also disclosed are a camshaft sensor implementing such a method, and a motor vehicle including such a sensor.

Provided herein is a system and method for determining whether a sensor is calibrated and recalibrating of an uncalibrated sensor. The system comprises a sensor system comprising a sensor and an analysis engine configured to determine whether the sensor is uncalibrated. The system further comprises an error handling system configured to determine whether to perform a recalibration in response to the sensor system determining that the sensor is uncalibrated. The error handling system further comprises a recalibration engine configured to perform a recalibration.

An angle sensor includes first and second detection units and an angle detection unit. Each of the first and second detection units generates two detection signals. The first and second detection units are arranged in a positional relationship that establishes predetermined phase relationships among the detection signals they generate. The angle detection unit includes first and second computing circuits and an angle computing unit. The first and second computing circuits generate first and second signals in each of which an error component corresponding to a fifth harmonic contained in the detection signals is reduced. The angle computing unit calculates a detected angle value on the basis of the first and second signals. The angle computing unit performs correction processing for reducing an error occurring in the detected angle value due to an error component corresponding to a third harmonic contained in the detection signals.

An angle sensor includes first and second detection units and an angle detection unit. Each of the first and second detection units generates two detection signals. The first and second detection units are arranged in a positional relationship that establishes predetermined phase relationships among the detection signals they generate. The angle detection unit includes first and second computing circuits and an angle computing unit. The first and second computing circuits generate first and second signals in each of which an error component corresponding to a fifth harmonic contained in the detection signals is reduced. The angle computing unit calculates a detected angle value on the basis of the first and second signals. The angle computing unit performs correction processing for reducing an error occurring in the detected angle value due to an error component corresponding to a third harmonic contained in the detection signals.

In general, the invention relates to an algorithm and process for automated and/or continuous calibration of magnetic sensor, for example such as a sensor installed in a mobile positioning system handset. According to certain aspects, the calibration process can use the normal motion of the handset such that all measurement data from the three orthogonal axes of sensor when exposed to Earth's magnetic field is collected. According to still further aspects, the process includes fitting measurement data to an ellipsoid that characterizes the actual magnetic field measurements from a magnetic sensor, so that anomalies such as hard iron effect, soft iron effect and scale factors can be extracted and/or corrected by comparison to a sphere represented by magnetic field data from a model at the sensor's location.

Methods and apparatus are disclosed for automated acquisition of moisture readings using a handheld moisture meter. In automated mode, a succession of moisture content readings at successive positions can be acquired without any user interface input, by moving the moisture meter to successive positions on a sample, and holding steady at each position. Moisture readings stable for a time period (e.g. one second) are indicative of moisture content of a sample at a stationary position and are collected. Moisture readings varying in time are indicative of motion of the moisture meter and are not collected. Statistics can be performed on the collected readings. Notifications of stable readings and alerts for out-of-range readings can be provided. Hardware and software architectures are disclosed. The innovative technology is suitable for wood, concrete, and other materials at any stage of manufacturing or product lifecycle.

A rotary encoder includes: a rotary disk with an angle code; a light source; a detector reading the angle code; and a processing unit acquiring a reading value. The light source includes at least two light-emitting elements spaced from each other. Every time the rotary disk is rotated by a predetermined angle, where an arbitrary angle from a rotation angle within a reading range on the detector is provided as , the processing unit acquires reading values f.sub.I(+) and f.sub.I() with a first light-emitting element and a reading value f.sub.II(+) with a second light-emitting element, to calculate a reading value error due to deflection at an angle + based on the difference between the reading values f.sub.II(+) and f.sub.I(+), to obtain a difference g.sub.I(, ) between the reading values f.sub.I(+) and f.sub.I() such that the error is reflected, and to self-calibrate based on a change in the difference g.sub.I(, ).

A robotic controller for autonomous calibration and inspection of two or more solar surfaces wherein the robotic controller includes a drive system to position itself near a solar surface such that onboard sensors may be utilized to gather information about the solar surface. An onboard communication unit relays information to a central processing network, this processor combines new information with stored historical data to calibrate a solar surface and/or to determine its instantaneous health.

The present invention provides a method for measuring an optical sensor system comprising an array of intrinsic fiber optic sensors at an interrogator comprising an optical source and an optical detector. The method comprises the steps of emitting an optical signal to an array of intrinsic fiber optic sensors; detecting optical responses to the emitted signal from the sensors; associating each detected optical response with an individual sensor by determining within which region among a plurality of detection regions assigned to the individual sensors the optical response is detected wherein each detection region corresponds to a wavelength range in the bandwidth of the optical sensor system; and performing signal processing on each optical response to measure the value of the physical parameter detected by its associated sensor. A calibration of the detection region assigned to each sensor is performed at predetermined intervals.