Abstract: Identifying a low permeable conglomerate diagenetic trap can be implemented according to a method that comprises: determining a first relation curve between a depth and a critical physical property of a known diagenetic trap in a target work area, and a second relation curve between a reservoir physical property of the known diagenetic trap and a designated seismic attribute; determining a third relation curve between the depth and the critical physical property in the target work area and the designated seismic attribute according to the first relation curve and the second relation curve; and performing a diagenetic trap identification of the target work area according to the third relation curve. Identification accuracy of a low permeable conglomerate diagenetic trap can thereby be improved.

Abstract: To provide a reference temperature setting device, a reference temperature setting method, and a reference temperature setting program capable of setting an appropriate reference temperature for thermal displacement compensation. A reference temperature setting device comprises: an acquisition unit that acquires measured values from multiple temperature sensors installed on a machine; and a determination unit that determines setting timing for a reference temperature for thermal displacement compensation to coincide with a point in time when the measured values satisfy a predetermined condition.

Abstract: A sensor arrangement has a current mirror structure that is configured to provide respective base currents at each of a plurality of output current paths based on an input current. For each of the output current paths, a respective adjustment current source is provided that is digitally controllable and is connected to the respective output current path for adjusting the base current of said output current path. For each of the output current paths, a current biased sensor element is coupled in said output current path. The sensor arrangement further has a selection element for selectively connecting one of the output current paths to an evaluation block based on a selection signal. The evaluation block is configured to generate a sensing value corresponding to a resulting current in the connected output current path, to compare the sensing value with an average value, and to update the average value based on the sensing value.

Abstract: The system generally includes a crosspoint switch in a local data collection system having multiple inputs and multiple outputs including a first input connected to a first sensor and a second input connected to a second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of a first sensor signal and a second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal and the second sensor signal. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history. The local data collection system is configured to manage data collection bands.

Abstract: A system includes a processor and machine readable instructions stored on a tangible machine readable medium, which when executed by the processor, configure the processor to collect data regarding resource use within a computing system, the data being collected periodically, without running a diagnostic program, and before occurrence of a diagnosis worthy event; and provide the collected data to the diagnostic program executed after the occurrence of the diagnosis worthy event so that the diagnostic program has data from before the occurrence of the diagnosis worthy event to enable determination of a cause of the diagnosis worthy event.

Abstract: Methods for monitoring a machine are described. In one aspect, a method includes receiving information on a plurality of events associated with the machine, determining a severity value for at least one event of the plurality of events, the severity value based on at least one of a safety value, a hierarchy value, a time-to-repair value, and a cost-of-repair value, and outputting an alert includes the severity value if the severity value exceeds a predetermined threshold associated with the at least one event. Systems and machine-readable media are also described.

Abstract: Facilitation of determination of detailed location of a source signal is provided. In one embodiment, a device comprises a memory that stores computer executable components; and a processor that executes computer executable components stored in the memory. The computer executable components can comprise: a low-resolution computation logic component that implements a coarse algorithm and determines an approximate direction of arrival (DOA) of a source signal of an input signal, wherein the coarse algorithm uses both a coarse spatial grid and input data received from the input signal to determine the approximate DOA; and an error estimation logic component that estimates an estimation error of the coarse algorithm, and wherein the error estimation logic component uses the estimation error and the approximate DOA to determine a spatial interval range.

Abstract: Techniques for detecting electrical meter bypass theft are described herein. In one example, a time-series of voltage-changes and current-changes associated with electrical consumption measured at a meter are obtained. The time series may track associated voltage and current changes at short intervals (e.g., 5-minutes). The voltage and current changes may indicate a slight voltage change when an appliance is turned on or off. An analysis (e.g., a regression analysis) may be performed on the voltage-changes against the current-changes. Using the correlation from the analysis, it may be determined if the meter was bypassed.

Abstract: A global theoretical graphical representation of a soft sensor is generated based on a cursory model, where the soft sensor is used to control crude stabilization. A plurality of local real-life graphical representations are generated for the soft sensor, each of the plurality of local real-life graphical representations corresponding to a respective local regime. A global real-life graphical representation is generated for the soft sensor by combining the plurality of local real-life graphical representations. A set of numerical values for the soft sensor are generated based on the global real-life graphical representation. The soft sensor is updated based on lab results and a crude stabilization operation is controlled using the soft sensor.

Abstract: A signal processing method generates a time-frequency domain representation of an input signal for the purpose of signal detection, signal display, and application of filtering operations, such as sample accurate spectral editing. The method may include receiving an input signal in the time domain in a processor. The input signal may include a plurality of transform frames. The input signal is transformed into the frequency domain using a frequency transform. Time-frequency matrices are generated from the frequency transform. Crossfrequency phase coupling is applied between adjacent frequency bins to introduce synchronization between adjacent frequencies and to generate smoothed time-frequency matrices with sample-accurate frequency magnitudes. The frequency information can be edited in the time-frequency domain specific to a single sample of the transform frame to alter unwanted signal features.

Abstract: A geometrical error measurement method for a feed drive system includes entering coordinate values of four vertices of a virtual regular tetrahedron, mounting a position indicator to an end of a main shaft of a feed drive system, mounting three center mounts at three respective vertices of the four vertices except for the remaining vertex at which the main shaft is positioned while moving the main shaft of the feed drive system sequentially from one vertex to another according to the entered coordinate values, measuring distances between each of the four vertices indicated by the three center mounts and the position indicator with a double ballbar, and calculating a geometrical error from the measured distances.

Abstract: An inventory management device wherein the user inputs a material of known characteristics such as weight, thickness, and width, or length into a computer via user interface. The device calculates the length of the material and displays the remaining coiled length on a display screen. When the user is ready to feed the material, the material is rolled over a feed wheel, which turns a measure wheel. The measure wheel communicates with a computer control chip to deduct the quantity fed off the coil. The actual remaining length is shown on the display screen in real time or near real time. When the user is finished working with the material, the user can select to print a label with a barcode to affix to the material. The barcode contains characteristics of the material so the material can be inventoried and/or reused on the feeder.

Abstract: The present disclosure provides a system and method for the management of a monitor module in an electrical measurement system to determine an estimate of a transfer function of a first measurement sensor in the measurement system. The management comprises outputting a first control instruction for instructing the monitor module to determine an estimate of the transfer function of the first measurement sensor over a first individual run length of time, obtaining a first monitor result from the monitor module, the monitor result comprising the estimate of the transfer function of the first measurement sensor and generating a report based at least in part on the first monitor result.

Abstract: Sensory outputs are corrected to reflect true values. One or more correction factors may be determined and applied to sensory outputs to ensure a true value is obtained. A reconstruction algorithm maps the sensory outputs to a quantity of interest, such that the true value of the quantity of interest is within error bounds of a reconstructed value.

Abstract: A power estimating apparatus includes a functional unit, at least one converter, a detection unit, and an estimating unit. The functional unit uses an alternating-current power supply. The at least one converter is connected to a branch point between the alternating-current power supply and the functional unit and includes a smoothing capacitor so as to convert an alternating current from the alternating-current power supply into a direct current. The detection unit obtains a total amount of currents supplied to the functional unit and the at least one converter. The estimating unit uses the total amount to estimate an amount of the current supplied to the functional unit. The total amount is obtained by the detection unit in a charge and discharge period during which the smoothing capacitor performs a charge and discharge operation.

Abstract: A system, in some embodiments, comprises: a drill string; a first receiver coil coupled to the drill string at a fixed tilt angle with respect to a longitudinal axis of the drill string; a second receiver coil coupled to the drill string at another fixed tilt angle with respect to the longitudinal axis of the drill string; and a processor coupled to the first and second receiver coils and configured to trigonometrically manipulate a response of the first receiver coil and a response of the second receiver coil to determine a response of a modeled receiver coil having a desired tilt angle with respect to the longitudinal axis of the drill string, wherein said responses are based on a subterranean formation layer.

Abstract: In some examples, measurement data is received from at least one sensor that detects a signal reflected from a surface inside a platform. A likelihood ratio test is applied using the measurement data, and a load status of the platform is determined based on the likelihood ratio test.

Abstract: A control system for monitoring operation of an electric motor includes a plurality of position sensors configured to measure a position of the electric motor, an indirect position estimation module configured to indirectly estimate the position of the motor, and an error monitoring module. The error monitoring module is configured to perform at least one of: comparing a measured position from the plurality of position sensors to an estimated position from the sensor position estimation module, and detecting a failure of at least one of the one or more position sensors based on the comparison; and calculating a difference between the measured position from one of the plurality of position sensors and the measured position from another of the plurality of position sensors, and causing the indirect position estimation module to initiate estimation of the position of the motor based on the difference.

Abstract: A sensor device using verification includes a sensor component and a verification component. The sensor component is configured to generate first data and second data. The verification component is configured to analyze the first data and the second data and generate verification data based on the first data and the second data.

Abstract: The present disclosure relates to systems and methods for determining vehicle battery health. In some embodiments, an example method may include receiving, from a first vehicle, a first value for a first data type and a second value for a second data type, the first data type and the second data type relating to a battery of the first vehicle. The example method may also include determining, for the first data type and the second data type, a minimum possible value, a maximum possible value, and an offset indicator, wherein the offset indicator provides an indication of a significance of the first value and the second values relative to the minimum possible value and maximum possible value for the first data type and the second data type respectively. The example method may also include determining a weight for the first data type and a weight for the second data type.