Abstract: The present disclosure relates to a gyro sensor calibration method based on vehicle velocity, which can extract a weighting factor in consideration of vehicle velocity, apply the extracted weighting factor to an extended Kalman filter, and accurately calibrate a gyro sensor in real time, in order to prevent accumulation of scale factor calibration errors, which may occurs as a turning radius is changed depending on vehicle velocity in a turning section, when a GNSS-based dead reckoning (DR) system calibrates a scale factor of the gyro sensor through the extended Kalman filter using GNSS information received in the turning section.

Abstract: A workstation including a height-adjustable work surface is described. The workstation includes a frame, and the work surface is configured to translate relative to the frame to vary a height of the work surface. A lift assembly configured to assist translation of the work surface relative to the frame. The lift assembly includes a moveable component and translation of the moveable component results in a translation of the work surface relative to the frame. A translation sensor is coupled to one of the frame or the movable component, and it is configured to measure translation of the moveable component relative to the frame. A control circuit is in communication with the translation sensor to determine an amount of translation of the work surface relative to the frame.

Abstract: A method, an electronic device, and a computer program product for calibrating a barometric pressure sensor in an electronic device. The method includes receiving, via a processor of an electronic device, first altitude data from a first wireless access point and triggering a barometric pressure sensor of the electronic device to transmit second altitude data. The method further includes receiving the second altitude data and determining a first difference between the first altitude data and the second altitude data. The method further incudes determining if the first difference is greater than an altitude difference threshold, and in response to determining that the first difference is greater than the altitude difference threshold, triggering the barometric pressure sensor to calibrate, based on the first altitude data.

Abstract: An apparatus for analyzing an element rotating at a rotational speed based on an vibration signal originating from the rotating element has: an analysis function processor for forming a plurality of analysis functions, the analysis function processor configured to form each analysis function based on an analysis frequency, on the vibration signal or on a measured or estimated rotational speed and on a predetermined order factor differing for each analysis function; a correlator configured to calculate a correlation result from the vibration signal and each analysis function, each correlation result being associated to the order factor which the analysis function, with which the correlation result was calculated, is based on, and the correlation results representing a correlation function; and an examiner configured for examining the correlation function or examining information derived from the correlation function so as to make a statement on a state of the rotating element.

Abstract: The diagnostic system for diagnosing a rotor imbalance of a wind turbine based on acceleration data measured on a nacelle of a wind turbine which is supported by a tower includes a measuring device provided with a triaxial vibration sensor suitable for measuring acceleration data corresponding to vibrations occurring on the nacelle. The system also includes a processing system for processing the acceleration data, suitable for determining the rotor imbalance according to the acceleration data measured on at least two axes on the nacelle. The invention also relates to a method for diagnosing the rotor imbalance of a wind turbine.

Abstract: Systems and methods for estimating reservoir productivity as a function of position in a subsurface volume of interest are disclosed. Exemplary implementations may: obtain subsurface data and well data corresponding to a subsurface volume of interest; obtain a parameter model; use the subsurface data and the well data to generate multiple production parameter maps; apply the parameter model to the multiple production parameter maps to generate refined production parameter values; generate multiple refined production parameter graphs; display the multiple refined production parameter graphs; generate one or more user input options; receive a defined well design and the one or more user input options selected by a user to generate limited production parameter values; generate a representation of estimated reservoir productivity as a function of position in the subsurface volume of interest using the defined well design and visual effects; and display the representation.

Abstract: A server system for remote monitoring includes a wireless communication interface, a processor, and a storage device. The wireless communication interface receives at least one data packet over wireless communications from a remote monitoring system. The processor processes the data packet including sensor information from a sensor coupled to the remote monitoring system. The storage device stores the sensor information.

Abstract: The present invention may include acquiring a plurality of overlay metrology measurement signals from a plurality of metrology targets distributed across one or more fields of a wafer of a lot of wafers, determining a plurality of overlay estimates for each of the plurality of overlay metrology measurement signals using a plurality of overlay algorithms, generating a plurality of overlay estimate distributions, and generating a first plurality of quality metrics utilizing the generated plurality of overlay estimate distributions, wherein each quality metric corresponds with one overlay estimate distribution of the generated plurality of overlay estimate distributions, each quality metric a function of a width of a corresponding generated overlay estimate distribution, each quality metric further being a function of asymmetry present in an overlay metrology measurement signal from an associated metrology target.

Abstract: A system and methods for monitoring an impact of geomagnetic disturbances (GMDs) or an E3 component of electromagnetic pulses (EMP-E3), involving a transducer generating a transduced signal in response to a magnetic field of a current carrying element of a transmission line. The transduced signal reflects harmonic characteristics of the current carrying element, and is amplified and filtered, then digitally converted. Excessive impact is detected when a threshold condition is met with respect to a total harmonic distortion (THD) and/or a change in THD. The THD can be calculated from amplitudes of harmonic components of interest. The amplitudes can be calculated in various ways, including Fourier transforming the digital signal to locate peaks in the resulting spectral lines, or using a phase sensitive detection algorithm in which the digital signal is multiplied by a phase swept reference signal and then integrated.

Abstract: Reception unit receives data indicating water temperature of a body of water through which a vessel voyages, vessel speed, and a period for which those values are maintained. From storage unit, index value acquisition unit reads out a decrease amount of anti-fouling paint corresponding to the water temperature and vessel speed received by reception unit. Index value specification unit specifies a decrease amount of anti-fouling paint in the period by multiplying the length of time of the period received by reception unit by the decrease amount read out by index value acquisition unit. Remaining amount acquisition unit integrates the decrease amounts of the anti-fouling paint specified by index value specification unit at the time of coating with the anti-fouling paint and onward.

Abstract: The present invention provides a rotation angle detection method and device thereof. The method includes calculating an estimated value of a rotation angle of a motor shaft during rotation according to a second rotation angle; determining an actual range of the rotation angle according to the estimated value of the rotation angle and a detection error of the second angle sensor; determining optional values of the rotation angle based on a relative relationship between a first rotation angle and the estimated value; determining an actual rotation angle of the motor shaft, based on a value falling within the actual range of the rotation angle among the optional values, and determining an actual rotation angle of the output shaft according to the actual rotation angle of the motor shaft. The present invention can improve the measurement accuracy of the rotation angles of the output shaft of the rotating mechanism.

Abstract: Generating fault indications for an additive manufacturing machine based on a comparison of the outputs of multiple process models to measured sensor data. The method receiving sensor data from the additive manufacturing machine during manufacture of at least one part. Models are selected from a model database, each model generating expected sensor values for a defined condition. Difference values are computed between the received sensor data and an output of each of the models. A probability density function is computed, which defines, for each of the models, a likelihood that a given difference value corresponds to each respective model. A probabilistic rule is applied to determine, for each of the models, a probability that the corresponding model output matches the received sensor data. An indicator is output of a defined condition corresponding to a model having the highest match probability.

Abstract: A method, performed by at least a first apparatus, is disclosed, comprising: automatically and repeatedly obtaining, at said first apparatus, information representative of an ambient pressure at said first apparatus; and automatically and repeatedly sending or triggering sending, by said first apparatus, at least a part of said obtained information representative of an ambient pressure at said first apparatus. A method, performed by at least a second apparatus, is disclosed, comprising: obtaining information representative of an ambient pressure at a first apparatus sent by said first apparatus and received at a device; and estimating an ambient pressure at said device at least based on said information representative of an ambient pressure at said first apparatus.

Abstract: A thermal displacement compensation system detects a state quantity indicating a state of a machine, infers a thermal displacement compensation amount of the machine from the detected state quantity, and performs a thermal displacement compensation of the machine based on the inferred thermal displacement compensation amount of the machine. The thermal displacement compensation system generates a learning model by machine learning that uses a feature quantity, and stores the generated learning model in association with a combination of specified conditions of individual difference of the machine.

Abstract: Phase selection for traveling wave fault detection systems is disclosed herein. Intelligent electronic devices (IEDs) may be used to monitor and protect electric power delivery systems by detecting and acting upon traveling waves. A phase of the electric power delivery system may be selected based on the relative polarity of the traveling waves detected. The amplitude and/or polarity of the selected phase may be compared with the amplitudes and/or polarities of the other phases to determine a fault condition. For instance, the IED may determine a single-phase-to-ground fault based on the relative polarities and magnitudes of the detected traveling waves, send a protective action to the identified faulted phase, and/or continue to monitor the system for a continuation of the event or identification of a different event, such as a three-phase fault, using incremental quantities.

Abstract: A method of calibrating a yield sensor of a harvesting machine. The yield sensor generates a grain force signal as clean grain piles are thrown by the elevator flights against the sensor surface of the yield sensor. A grain height sensor is disposed to detect a height of the clean grain pile on each passing elevator flight. Each grain height signal is associated with a corresponding grain force signal by applying a time shift to account for a time delay between the time the grain height signal is generated and the time at which the impact signal is generated. The grain force signal is corrected by multiplying the grain force signal by a correction factor. The correction factor is the sum of the grain height signals divided by the sum of the grain force signals over a predetermined period.

Abstract: A method for calculating eccentricity of rotor assembly axis based on radial runout measurement comprises matrix characterization of data and calculation of relative runout value at each point, establishment of a spring equivalent model and calculation of contact force, eccentric direction and magnitude; calculation of relative runout value; establishment of a spring equivalent model to analyze the relationship between force and displacement in each phase of a contact process, and then an uneven contact force at each point is obtained; and determination of eccentricity is to determine the magnitude of eccentricity. Based on the measured radial runout data in production practice, this method realizes the prediction of eccentricity of axis before assembly, improves the coaxiality of rotors after assembly, and has important practical guiding significance for axis prediction as well as assembly phase adjustment and optimization in the assembly process of aero-engine rotor pieces.

Abstract: The present disclosure provides methods and systems for automated identification of agro-climatic zones. The methods deal with receiving parameters pertaining to ambience and soil from various external systems for a geographical region via one or more interaction methods. The parameters may be raw data or derived from raw data, homogenized and stored in a generic and hierarchical format for easy consumption. Inference is drawn from the parameters and associated attributes by comparing with historic attributes available in a knowledge base module for a corresponding agro-climatic zone. Inferences may also be made from parameters available in encoded form such as images, videos and ontological knowledge. Based on the comparison, a score is generated that reflects the degree of compliance with pre-defined agro-climatic zones.

Abstract: A wearable device comprises first and second transmitting loops coupled with the wearable device. The first and second transmitting loops being further coupled with a data processing unit. Additionally, the second transmitting loop may be coupled with a sensor outputting a measuring signal. The first and second transmitting loops have a property with a readable value dependent on an aging of the object of a wearable device. In addition, the data processing unit is configured to measure the value of the property of the first and second transmitting loops and determine the effects or amount of aging.

Abstract: A rough initial estimate of Line of Sight range (“pseudo-range”) is generated essentially immediately following the detection of an object by a passive sensor on a vehicle. The data are combined with prior detection likelihood and prior performance models for the sensor. These comparisons generate a posterior probability distribution of pseudo-range estimates. A pseudo-range estimate is derived from the probability distribution and output for use in detect and avoid decision-making and action planning. The pseudo-range estimate can be updated to improve its accuracy, such as by using a recursive filter (e.g., a Kalman filter). Other information, such as current atmospheric data, or known (or likely) vehicular activity in the region and at the current time, can be used in addition to the vehicle's spatial and temporal location, to improve accuracy.