Abstract: A method of calculating the SOC of a battery in real time includes a battery parameter measurement operation for measuring current, voltage, temperature, and degradation degree of battery, and a real-time SOC calculation operation for calculating the SOC of the battery in real time based on the measured battery parameter. The real-time SOC calculation operation calculates the SOC of the battery in real time using an Extended Kalman Filter.

Abstract: The invention provides a method of detecting a seismic event, which comprises acquiring (110) a digital signal x characteristic of a signal measured by at least one seismic sensor, and calculating (130) a time-frequency distribution for at least one section of a given duration of said signal, in a given frequency band. For each frequency of said frequency band, the calculated time-frequency distribution is normalized. The method also comprises calculating (150) the moving average of the normalized time-frequency distribution ZD, in said frequency band and in a time window, given reference L, centered on the time n; and detecting (160) a seismic event when the average exceeds a predefined threshold value. The invention also provides a corresponding detection system.

Abstract: An abnormality diagnosis apparatus includes: a model acceleration calculation unit to calculate model acceleration that is a predicted value of motor acceleration; a motor acceleration calculation unit to calculate the motor acceleration from one of position information and speed information on a motor; and an abnormality determination unit to diagnose whether a power transmission mechanism is abnormal on the basis of the result of comparison between the motor acceleration and the model acceleration.

Abstract: Provided is a method for determining a battery state of a lithium ion secondary battery that allows for understand a deterioration state of the battery without performing full charging of the battery. To estimate an entire image of a charge-discharge curve on the basis of a fragmentary charge-discharge curve by analyzing a relaxation process after the electric current interruption to grasp the resistance of a battery and taking into consideration a resulting resistance value.

Abstract: A wellbore visualization system can receive electromagnetic field data related to a formation from a downhole tool in a wellbore. The visualization system generates a first inversion slice that represents an inversion of the electromagnetic field data about the formation at a first true vertical depth. The visualization system generates a second inversion slice that represents an inversion of the electromagnetic field data about the formation at a second true vertical depth. The visualization system generates an inversion stack comprising the first inversion slice and the second inversion slice. The visualization system presents a user interface comprising the inversion stack for use to determine a distance from the formation to the downhole tool in the wellbore.

Abstract: Calibrating weather stations using maximum allowed altitude errors. Particular embodiments described herein include machines that determine a maximum allowed pressure calibration error for a weather station in a network of weather stations, determine a temperature variation associated with an environment in which the weather station resides, determine a maximum allowed altitude error for the weather station using the maximum allowed pressure calibration error and the temperature variation, and use the maximum allowed altitude error to determine if a first maximum possible altitude error associated with a first approach for estimating an altitude of the weather station exceeds the maximum allowed altitude error. If the first maximum possible altitude error associated with the first approach does not exceed the maximum allowed altitude error, the first approach is used to estimate an altitude of the weather station for use in calibrating a pressure sensor of the weather station.

Abstract: An abnormality cause identifying method that is applied to a computer is provided. The abnormality cause identifying method includes: outputting a control parameter that is calculated based on a detection value detected from a power converter that converts power supplied from a power supply and supplies the converted power to a load; plotting, on coordinates having at least two axes, a value that is calculated using the detection value and the control parameter; and identifying an abnormality cause based on a quadrant of the coordinates on which the value is plotted.

Abstract: A method of detecting a flood front through a subterranean formation, comprising, measuring a distance to the flood front, processing the measured distance using a predictor-corrector filter to determine a corrected distance to the flood front, and adjusting a formation device based on the corrected distance to control a flow of the flood front.

Abstract: A method, a tool, and a system for modeling sediment surface paleo-temperature are provided. The method includes: determining a latitudinal temperature gradient of a location for a time period in the geologic past based on a depositional environment of the location during the time period; determining a surface temperature of the location during the time period using the latitudinal temperature gradient and a latitude of the location during the time period; and modifying the surface temperature at the location during the time period based on an altitude of the location during the time period.

Abstract: Extending the spatial coverage of a reference pressure network. Particular embodiments described herein include machines that initially determine that an estimated position of a mobile device resides outside a coverage area of a network of reference pressure sensors. Reference-level pressures corresponding to reference pressure sensors of the network are determined using measurements of pressure from the network of reference pressure sensors. A pressure pattern for a region that includes the estimated position and an area not included in the coverage area of the network is determined using reference-level pressures that were not determined using measurements of pressure from the network of reference pressure sensors. The reference-level pressures corresponding to reference pressure sensors of the network and the pressure pattern are used to determine a reference-level pressure value for use in calibrating a pressure sensor of the mobile device or for use in estimating an altitude of the mobile device.

Abstract: A dynamic reference deviation detecting method is used for detecting a deviation of a dynamic reference coordinate system. A coordinate detecting step is for detecting and recording a first initial coordinate and a second initial coordinate. A first coordinate variation calculating step is for calculating a difference between a first instantaneous coordinate and the first initial coordinate to obtain a first difference value. A second coordinate variation calculating step is for calculating a difference between a second instantaneous coordinate and the second initial coordinate to obtain a second difference value. A relative coordinate variation calculating step is for obtaining a relative difference value. A dynamic reference deviation determining step is for determining whether or not the dynamic reference coordinate system is deviated according to the first difference value, the second difference value and the relative difference value.

Abstract: A rotor diagnostic apparatus includes a parameter selection part that calculates evaluation values indicating how much sensor values of a rotor at a given time point deviate from a reference value at which the rotor is known to be in a normal state, the given time point being after the rotor is known to be in the normal state and before the rotor is to be diagnosed, and selects a plurality of parameters to be used for abnormality diagnosis of the rotor from the sensor values based on the calculated evaluation values. A diagnosis part outputs an abnormality value which is indicative of how abnormal the rotor is and which is obtained based on a distance, in a multidimensional space having the selected parameters as coordinate axes, between a figure represented by sensor values in the normal state and a figure represented by sensor values targeted for diagnosis.

Abstract: A field device which outputs a measured value and includes a self-diagnosis function which, when at least one specified error is detected, signals this error, marks the output measured value as temporarily invalid, and initiates the output of a substitute value that is used to trigger a safety-oriented response, where to prevent interventions when temporary errors occur, but without losing safety-relevant information, the field device includes a first and second timers having different expiration times that are started when the error is detected and are reset at the end of the detected error, where the first timer initiates the output of the substitute value when the first expiration time expires, where the second timer signals the error when the second expiration time expires, and where the signal is resettable if, at the same time, the output measured value is marked as valid via the second binary status signal.

Abstract: A secondary battery deterioration estimation device includes a memory; and a processor which executes the following processes based on executable programs stored in the memory, generating history information showing history of a use state of the secondary battery with reference to a signal output from a current sensor detecting a current flowing through the secondary battery; calculating values of elements forming an equivalent circuit of the secondary battery; calculating a state of health (SOH) of the secondary battery based on the values of the elements forming the equivalent circuit; correcting the values of the elements before the SOH is calculated or the value of the SOH obtained by the calculation based on the history information; and outputting data representing the SOH of the secondary battery.

Abstract: A secondary battery deterioration estimation device includes receiving a first signal representing a discharging voltage; receiving a second signal representing a discharging current from a current sensor; calculating values of elements forming an equivalent circuit of the secondary battery based on the first and second signals; calculating a state of health (SOH) of the secondary battery based on the values of the elements forming the equivalent circuit; generating history information showing history of a use state of the secondary battery; calculating the SOH of the secondary battery based on the history information; determining a deterioration state of the secondary battery with reference to at least one of the SOH calculated by the values of the elements or the SOH calculated by the history information by the processor in accordance with a state of the secondary battery; and outputting data representing the deterioration state of the secondary battery.

Abstract: A motion measurement apparatus according to an embodiment of the present technology includes a detector unit, a controller unit, and an output unit. The detector unit is to be attached to a detection target and detects velocity-related information, the velocity-related information being related to temporal changes in velocities in three-axis directions of the detection target being in motion in a space. The controller unit extracts a motion feature amount including one or a plurality of kinematic physical quantities of the detection target on the basis of the velocity-related information. The output unit generates a perceivable measurement signal that changes depending on the motion feature amount.

Abstract: In the embodiments of the disclosure, a target signal which is a signal of a part used for subsequent processing is acquired from signals output from a device with higher accuracy. A control apparatus includes a first acquisition part which acquires a first signal of a time series output from a first device, a recording part which records a part of the first signal acquired by the first acquisition part, and a determination part which determines a timing at which the recording part records the first signal based on a preset predetermined condition.

Abstract: A method of predicting an electronic structure of a material by an electronic apparatus includes receiving user's input data about elements constituting the material; applying the received user's input data to a trained model for estimating a state density of the material; and outputting a first graph representing energy level-by-level state densities of the material output from the trained model, wherein the trained model is trained to generate the first graph based on a plurality of second graphs representing pre-calculated energy level-by-level state densities respectively corresponding to a plurality of pre-input data about elements of various materials and the plurality of pre-input data.

Abstract: An alignment apparatus of a container configured to an alignment of a container smoothly by using a manual operation and an automatic operation together is provided.

Abstract: In the embodiments of the disclosure, a target signal which is a signal of a part used for subsequent processing is acquired from signals output from a device with higher accuracy. A control apparatus includes a first acquisition part which acquires a first signal of a time series output from a first device, a recording part which records a part of the first signal acquired by the first acquisition part, and a determination part which determines a timing at which the recording part records the first signal based on a preset predetermined condition.