Abstract: The described techniques are directed to inductive torque sensors that implement independent target coil and pickup coil systems. By utilizing the various principles of inductive angle sensors, and as a result of the specific physical arrangement of target coils, the inductive torque sensor may independently obtain a rotational position (i.e., mechanical angle) of the rotatable input shaft via one pickup coil system, and a rotational position (i.e., mechanical angle) of the rotatable output shaft via another pickup coil system. Combiner circuitry is also provided to calculate the torsion angle using the signals induced in each of two separate pickup coil systems. By using different k-fold symmetry periodicities in the target coils with respect to the coil configurations, the inductive torque sensor advantageously reduces or eliminates mutual coupling between the different target coil systems and provide robustness to stray or external electromagnetic fields.

Abstract: Aspects of the present invention include a system and method for differentiating one or more objects detected behind an opaque surface, comprising, collecting, by one or more sensors, sensor data of the one or more objects behind the opaque surface along a scan path of a scanner; identifying, by one or more processors, signal strengths detected by the one or more sensors using the sensor data; analyzing, by the one or more processors, the signal strengths detected by the one or more sensors to differentiate one or more estimated regions of the one or more objects behind the opaque surface; and informing a user, by the one or more processors via a user interface, of the one or more estimated regions of the one or more objects behind the opaque surface.

Abstract: Systems and methods to determine a characteristic of a drilling fluid are presented. A method to determine a characteristic of a drilling fluid includes obtaining a measurement of a mud density of a drilling fluid formed from a mixture of a plurality of components. The method also includes obtaining a measurement of a thermal conductivity of the drilling fluid and determining an error function of a calculation of characteristics of the drilling fluid, where the error function is indicative of a threshold difference between the calculation of the characteristics of the drilling fluid and the characteristics of the drilling fluid obtained from retort data of a fluid distillation process. The method further includes determining, based on the error function, an oil water ratio of the drilling fluid and an average specific gravity of the drilling fluid.

Abstract: Events relevant for the service life are recorded for calculating the remaining service life of a switch. Events relevant for the service life are evaluated with respect to the frequency of their occurrence. The possibility of a future occurrence for the service life of relevant events is taken into account or not taken into account in accordance with the frequency of their occurrence for calculating the remaining service life.

Abstract: In some implementations, an angle sensor may receive a first x-component value and a first y-component value from a first set sensing elements and a second x-component value and a second y-component value from a second set of angle sensing elements. The angle sensor may perform a safety check including determining a first range of angles associated with a target object based on a relationship between a magnitude of the first x-component value and a magnitude of the first y-component value; determining a second range of angles associated with the target object based on a relationship between a magnitude of the second x-component value and a magnitude of the second y-component value; and determining whether the second range of angles is a subset of the first range of angles. The angle sensor may output an indication of a result of the safety check.

Abstract: A physical quantity sensor includes a physical quantity detection circuit having a determination circuit that determines whether a value of a physical quantity signal continuously remains within a predetermined range in a predetermined period, determines that a physical quantity detection element is in a first state of normal operation when the value does not continuously remain, and determines that the physical quantity detection element is in a second state of abnormal operation when the value continuously remains, a control circuit that stores first information based on a determination result of the determination circuit is stored in a control circuit as a setting information and a communication section that outputs the setting information stored in from the control circuit to the outside when the determination result of the determination circuit indicates the second state.

Abstract: A system analyzes a state of an inductive operator. The system includes a measuring device that is configured to: detect an acoustic reference signal and a plurality of operating variables, which can change over time, of the inductive operator or a reference inductive operator during a reference time period; and detect an acoustic signal and the operating variables during a productive time period. The system also includes an evaluating device that is configured to: generate a reference data set from the reference signal and a productive data set from the acoustic signal; perform a regression analysis of the reference data set and thereby create a model for description of the acoustic reference signal by the operating variables; and generate a state evaluation of the inductive operator from a difference between the productive data set and values modelled in accordance with the model.

Abstract: Among other things, a computer-based method is described. The method comprises receiving, by one or more computers, a plurality of measured spectra reflected from a substrate at a plurality of different positions on the substrate. The substrate comprises at least two regions having different structural features. The method also comprises performing, by the one or more computers, a clustering algorithm on the plurality of measured spectra to separate the plurality of measured spectra into a number of groups based on the spectral characteristics of the plurality of measured spectra; selecting one of the number of groups to provide a selected group having a subset of spectra from the plurality of measured spectra; and determining, in the one or more computers, at least one characterizing value for the substrate based on the subset of spectra of the selected group.

Abstract: Methods and systems for monitoring a plurality of components of a pump in an industrial environment include a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of a plurality of input sensors operationally coupled to the pump and communicatively coupled to the data acquisition circuit; a data processing circuit structured to utilize at least one of the plurality of detection values to perform at least one noise processing operation on at least a portion of the plurality of detection values; a signal evaluation circuit structured to determine a pump performance parameter in response to the noise processed plurality portion of the plurality of detection values; and a response circuit structured to perform at least one operation in response to the pump performance parameter.

Abstract: A magnetic field structure is provided and includes: two magnetic poles disposed in a magnetic circuit path and opposite to one another to form a space therebetween for receiving an element to be tested; a magnetic field source for providing a magnetic field in the space; and an optical positioning element disposed in one of the two magnetic poles for optically positioning the element to be tested. Therefore, the magnetic field structure can simultaneously provide a strong magnetic field and a precise positioning function.

Abstract: The present application provides two-port on-wafer calibration piece circuit models and a method for determining parameters. The method includes: measuring a single-port on-wafer calibration piece circuit model corresponding to a first frequency band to obtain a first S parameter; calculating, according to the first S parameter, an intrinsic capacitance value of a two-port on-wafer calibration piece circuit model corresponding to the single-port on-wafer calibration piece circuit model; measuring the two-port on-wafer calibration piece circuit model corresponding to the terahertz frequency band to obtain a second S parameter; and calculating a parasitic capacitance value and a parasitic resistance value of the two-port on-wafer calibration piece circuit model according to the second S parameter and the intrinsic capacitance value.

Abstract: An electronic device may have a power system with a battery. The device may include power management circuitry that helps distribute power from the battery to components within the device. To prevent an excessive load from being applied to the battery and the battery from dropping below a cut-off voltage, power management circuitry may control power consumption by components in the device. Power consumption models in the power management circuitry may be used to ensure that maximum allowable power consumption levels are not exceeded. To help accurately and quickly manage power consumption decisions, each component may have characteristic power consumption values that characterize the power consumption profile of the component.

Abstract: The present disclosure provides a method and system for predicting a potential future energy consumption of a plurality of energy loads in a built environment. The method includes a step of collecting a first set of statistical data associated with a plurality of energy consuming devices. The method includes another step of accumulating a second set of statistical data associated with each of a plurality of users present inside the built environment. The method includes yet another step of analyzing the first set of statistical data and the second set of statistical data. In addition, the method includes yet another step of predicting a set of predictions associated with the potential future energy consumption of each of the plurality of energy consuming devices.

Abstract: A method creates a measurement plan of a dimensional measuring apparatus or controls a measurement of the dimensional measuring apparatus. The method includes receiving setting parameters defining a measurement or control command of multiple measurement or control commands of the dimensional measuring apparatus. The method includes evaluating the setting parameters based on at least one of a statistical evaluation and an evaluation using machine-assisted learning. The method includes determining a presetting that assigns at least one setting parameter of the evaluated setting parameters to the measurement or control command. The method includes outputting a setting parameter proposal based on the determined presetting in response to receiving an input command for selecting the measurement or control command.

Abstract: An apparatus, a method, and a computer program for determining a chamfer property of a workpiece chamfer are provided. The method includes generating measurement points along at least a first measuring path, the first measuring path running over a first chamfer edge, determining at least one unadapted compensating element for the measurement points of the first measuring path, and determining a spatial position of the first chamfer edge depending on a deviation between the measurement points of the first measuring path and the at least one unadapted compensating element.

Abstract: There is a demand for low-cost robust method to detect corrosion for estimating corrosion inhibitor (CI) concentration sensing. This disclosure herein relates to method and system for estimating corrosion inhibitor (CI) concentration using a multi-electrode array sensor. The method initially obtains a plurality of electrochemical signals using the multi-electrode array sensor from the corroding environment. Further, the plurality of electrochemical signals are analyzed to obtain a plurality of parameters. Further, the method analyses a plurality of features from the plurality of parameters for estimating the corrosion inhibitor (CI) concentration using a trained machine learning model. The method is capable of estimating the corrosion inhibitor concentration of any unknown liquid using the regression model and the classification model.

Abstract: Methods, apparatus, systems and articles of manufacture to trigger calibration of a sensor node using machine learning are disclosed. An example apparatus includes a machine learning model trainer to train a machine learning model using first sensor data collected from a sensor node. A disturbance forecaster is to, using the machine learning model and second sensor data, forecast a temporal disturbance to a communication of the sensor node. A communications processor is to transmit a first calibration trigger in response to a determination that a start of the temporal disturbance is forecasted and a determination that a first calibration trigger has not been sent.

Abstract: A system and method utilizing a light transfer protocol for a sensor that monitors hose assembly degradation is disclosed. The system includes a sensor having one or more first alignment features, a contactless switch, and a light transmitter configured to transmit a light transfer protocol. The light transfer protocol is a sensor unique identification code recognizable by a gateway device that automatically pairs the sensor to the gateway device.

Abstract: A method and system for localizing faults in an industrial process is proposed. The industrial process includes a plurality of components. The method includes receiving structural plant data from an industrial plant. A structured model of the process is generated from the structural plant data. Sensor data measuring characteristics of the plurality of components is also received. Parameters of the structured model are identified from the received sensor data and stored. Faults are detected during operation of the industrial plant utilizing the identified parameters and detecting changes in the parameters by comparing current parameters to stored parameters. The fault information is then displayed via a display to an operator.

Abstract: A method and apparatus for monitoring a structure using an optical fiber based distributed acoustic sensor (DAS) extending along the length of the structure. The DAS is able to resolve a separate acoustic signal with a spatial resolution of 1 m along the length of the fibre, and hence is able to operate with an acoustic positioning system to determine the position of the riser with the same spatial resolution. In addition, the fiber can at the same time also detect much lower frequency mechanical vibrations in the riser, for example such as resonant mode vibrations induced by movement in the surrounding medium. By using vibration detection in combination with acoustic positioning then overall structure shape monitoring can be undertaken, which is useful for vortex induced vibration (VIV) visualisation, fatigue analysis, and a variety of other advanced purposes. The structure may be a sub-sea riser.