Abstract: The disclosure is directed to systems and methods by which the lifetime, e.g., remaining life or amount of life used, of variable use items, such as rechargeable batteries, battery relays, vehicles and power tools, can be determined that takes into account the conditions of the use of the item. The systems and methods involve an algorithm that can be described as accumulating points based on the real time utilization of the item, e.g., rechargeable battery, battery relay, vehicle, or power tool, and when an agreed-upon number of points have been accumulated, the item can be considered to be at end of life or end of warranty.

Abstract: A battery state estimation method includes: periodically measuring voltage and current of a battery in use to generate a voltage value and a current value; using an adaptive filter to generate a G parameter value for a G parameter and an H parameter value for an H parameter in real time from the voltage value and the current value, the G and H parameters indicating a present state of the battery; and using the G parameter value and the H parameter value to estimate the present state of the battery in real time. The G parameter is a parameter that represents sensitivity of the voltage to changes in the current of the battery, and the H parameter is a parameter that represents an effective potential determined by local equilibrium potential distribution and resistance distribution inside the battery.

Abstract: A system for use with an electric machine is provided. The system includes a processor and a memory comprising a set of memory modules, which, when executed by the processor, cause the processor to perform certain operations. The operations include receiving operational data from the electric machine, and generating, based on the operational data, a first set of diagnostic data, by executing a first memory module from the set of memory modules. The operations further include generating, based on the operational data, a second set of diagnostic data, by executing a second memory module from the set of memory modules, the second memory module including a set of parameters associated with a diagnostics model of the electric machine. Furthermore, the operations include effecting, based on the operational data, the first set of diagnostic data, and the second set of diagnostic data, a change in at least one parameter.

Abstract: Methods and apparatuses characterize fracture orientations in orthorhombic adjacent layer. Seismic data with azimuthal coverage enables calculating Fourier coefficients of reflectivity at an interface between the orthorhombic adjacent layers. The phases of 2nd and 4th FCs may be used to infer the fracture orientations in the orthorhombic adjacent layers. Analysis of 2nd and 4th Fourier coefficients' phases for different incidence angles may indicate that the fracture orientations in the orthorhombic adjacent layers are aligned, orthogonal, at 45°, that one of the layers is isotropic, etc.

Abstract: A sealing performance test method, an apparatus, and a storage medium, where the method includes obtaining a first atmospheric pressure value after a component configured to seal the apparatus is installed in the apparatus, where the first atmospheric pressure value is an atmospheric pressure value at inside of the apparatus when a pressure is applied to the apparatus, calculating an atmospheric pressure difference between the first atmospheric pressure value and an atmospheric pressure value at outside of the apparatus, and determining sealing performance of the apparatus based on the atmospheric pressure difference. Therefore, sealing performance of the apparatus can be quickly and accurately tested.

Abstract: Techniques for detecting and correcting for discrepancy events in a fluid pipeline are presented. The techniques can include obtaining a plurality of empirical temperature and pressure measurements at a plurality of locations within the pipeline; simulating, using a pipeline model, a plurality of simulated temperature and pressure measurements for the plurality of locations within the pipeline; detecting, by a discrepancy event detector, at least one discrepancy event representing a discrepancy between the empirical temperature and pressure measurements and the simulated temperature and pressure measurements; outputting to a user an indication that the at least one discrepancy event has been detected; accounting for the at least one discrepancy; determining, after the accounting and using an estimator applied to the pipeline model, a corrected branch flow rate for the pipeline; and outputting the corrected branch flow rate for the pipeline to the user.

Abstract: An object is to predict a deterioration state of a secondary battery even in an environment where temperature and a charging voltage change. A lifetime estimation device of the secondary battery includes a measuring unit for measuring the capacity of the secondary battery in the full charging state; a temperature sensing unit for sensing the ambient temperature of the secondary battery; and a storage unit for storing a table of a proportional coefficient corresponding to temperature in advance, and a predicted deterioration line of the secondary battery is calculated with the use of a nonlinear regression equation approximated to a measured deterioration line obtained by the measuring unit. The lifetime estimation device may construct a lifetime estimation system with the use of a neural network.

Abstract: A method of estimating the congestion degree and the number of people with high accuracy and at a low cost, without requiring a surveillance camera, is provided. Provided are a congestion degree estimating step of estimating a congestion degree based on sensor information (such as acceleration information) of a portable terminal device, an average congestion degree calculating step of calculating an average congestion degree for each mesh (reference range) set in advance, based on the congestion degree estimated in the congestion degree estimating step for a plurality of portable terminal devices, and an estimated number-of-people calculating step of calculating an estimated number of people for each mesh by multiplying the average congestion degree calculated in the average congestion degree calculating step by a base number of people (maximum number of accommodated people) determined in advance for each mesh.

Abstract: The present invention belongs to the technical field of fault diagnosis of aero-engines, and provides a method for fault diagnosis of an aero-engine rolling bearing based on random forest of power spectrum entropy. Aiming at the above-mentioned defects existing in the prior art, a method for fault diagnosis of an aero-engine rolling bearing based on random forest is provided, wherein test measured data for an aero-engine rolling bearing provided by a research institute are used for establishing a training dataset and a test dataset first; and based on an idea of fault feature extraction, time domain statistical analysis and frequency domain analysis are conducted on original collection data by adopting wavelet analysis; thereby realizing effective fault diagnosis from the perspective of engineering application.

Abstract: A method of characterizing a subterranean geologic formation's response to hydraulic fracturing is presented.

Abstract: A method for determining the excitation frequency of vibratory stress relief by employing a system for determining the excitation frequency of vibratory stress relief is disclosed, comprising the steps of: connecting the component to the system for determining excitation frequency of vibratory stress relief; selecting a group of preferred excitation frequency of the vibratory stress relief according to the results of numerical simulation; obtaining the reference voltage peak of the sinusoidal signal from the preferred excitation frequency, and transforming the sinusoidal signal into an excitation signal for vibratory stress relief treatment; converting the vibration signal of the component during vibratory stress relief treatment into voltage signal to obtain the actual voltage peak; comparing the actual voltage peak with the reference voltage peak, and selecting the frequency with the maximum difference of voltage peak as the excitation frequency for the vibratory stress relief treatment.

Abstract: An information processing system includes processing circuitry that is configured to receive input data from a shock sensor which outputs data based on a shock on the shock sensor, and identify a target segment of time-series data that is output from a motion sensor that senses a motion of an object. The target segment includes a pre-shock portion that occurs before the shock event and a post-shock portion that occurs after the shock event, the shock event is recognized based on the data from the shock sensor.

Abstract: A parameter estimation device includes: a voltage acquisition unit; a current acquisition unit; a parameter estimation unit; an internal resistance deriving unit; and a determination unit configured to determine, on the basis of a result of comparison between the internal resistance estimated by the parameter estimation unit and the internal resistance derived by the internal resistance deriving unit, whether or not to replace parameters of the secondary battery with the plurality of parameters estimated by the parameter estimation unit.

Abstract: A method and system for estimating open circuit voltage of lithium ion batteries with temperature input, that has the following steps: step 1 the undetermined equation for estimating open circuit voltage with temperature input is derived according to the gas-liquid dynamic model; step 2: the estimation equation parameters are identified according to the experimental data and put into the undetermined equation for estimating open circuit voltage in the step 1 to obtain a complete equation for estimating open circuit voltage; step 3: the method for estimating open circuit voltage with temperature input is designed according to the complete equation for estimating open circuit voltage.

Abstract: An error detection and localisation in a pneumatic system and in particular an error detection module includes a read-in interface for reading-in digital signals from the automation plant, a first processor unit designed to execute a detection algorithm for calculating an anomaly score for the automation plant on the basis of the set of read-in signals, a second processor unit which is designed—in the event that the anomaly score calculated with the first processor unit indicates an anomaly—to perform a machine localisation method for localising the error, wherein the machine localisation method has been trained in a training phase in order to calculate and as a result provide, on the basis of a detected circuit diagram of the automation plant with respect to the calculated anomaly score, probabilities of possible causes of error in relation to individual components of the automation plant.

Abstract: A method of monitoring the integrity of a fluid connection between first and second fluid containing systems based on at least one time-dependent measurement signal from a pressure sensor in the first fluid containing system. The pressure sensor detects first pulses originating from a first pulse generator in the first fluid containing system and second pulses originating from a second pulse generator in the second fluid containing system. A parameter value representing a distribution of signal values within a time window is calculated by analyzing the measurement signal in the time domain and/or by using information on the timing of the second pulses in the measurement signal. The parameter value may be calculated as a statistical dispersion measure of the signal values, or from matching the signal to a predicted temporal signal profile of the second pulse. The integrity of the fluid connection is determined from the parameter value.

Abstract: A processor-implemented method with battery state estimation includes: determining a state variation of a battery using a voltage difference between a sensed voltage of the battery and an estimated voltage of the battery that is estimated by an electrochemical model corresponding to the battery; updating an internal state of the electrochemical model based on the determined state variation of the battery; and estimating state information of the battery based on the updated internal state of the electrochemical model.

Abstract: A sensor device includes a gas sensor disposed on a first substrate, a heating element disposed within the first substrate, a processor operatively coupled to the gas sensor and the heating element, and a memory storing a program to be executed by the processor. The gas sensor is configured to measure first sensor data points and second sensor data points. The gas sensor overlaps the heating element. The program includes instructions for performing the following steps in real-time: recording first resistance values and second resistance values of the heating element; adjusting the second sensor data points using the first sensor data points, the first resistance values, and the second resistance values to obtain corrected sensor data points; and determining sensed values from the corrected sensor data points.

Abstract: A dynamic data acquisition system is disclosed for continuously recording, measuring and analyzing test cycle data of dimensional changes of a work piece before, during and after climatic changes. An optional climate chamber with an environmentally encapsulated camera system may be used to control the climate during the test cycle. A method of operating the dynamic data acquisition system is disclosed, as well as a business method for the new business model created by utilizing the system.

Abstract: Systems and methods include a method for locating a leak in a pipeline. Pressure and flowrate measurements are received corresponding to fluid flowing through a pipeline for which a leak is to be located in a pipeline segment. A calculated leak size is determined based pressure and flowrate measurements for upstream and downstream locations. A first assumed leak location is identified. A first assumed leak size is determined. A simulation is executed based on the first assumed leak size, first assumed leak location, and pressure and flowrate measurements, producing a virtually measured leak size. If a difference between the virtually measured and calculated leak size is not within acceptance criteria, a second assumed leak size is iteratively determined, the simulation is re-executed, and the difference is re-determined. A second assumed leak location is iteratively identified, and the simulation is re-executed to determine an estimated leak location of the leak.