Abstract: A method, apparatus, and system for leak detection in a distribution network having consumption meters. The distribution network is divided into zones having an upstream location and a downstream location. An upstream pressure sensor detects the upstream pressure at the upstream location and the downstream pressure sensor detects the detected downstream pressure at the downstream location. A downstream pressure lookup table is used to determine an expected pressure at each downstream location based on a range of hypothetical upstream pressures at the corresponding upstream location and consumption data from the consumption meters. The expected pressure and the detected downstream pressure at each downstream location are compared to determine if the calculated discrepancy exceeds a discrepancy threshold.

Abstract: A system generating an electrical signal based on at least one physical quantity, includes sensor units each generating an individual electrical signal in response to the at least one physical quantity, a selecting unit selecting a first number of sensor units from the sensor units and outputting a first combined electrical signal based on the first number of sensor units, and a calibrating unit determining a second number of sensor units to be selected based on the first combined electrical signal.

Abstract: A system may include a sensor having a variable phase response, a dummy impedance having a known phase response, and a measurement circuit communicatively coupled to the sensor and configured to measure first phase information associated with the sensor, measure second phase information associated with the dummy impedance, and determine a phase response of the measurement circuit based on a comparison of the first phase information to the second phase information.

Abstract: Apparatuses and methods are described for processing the sensor signal of a sensor component, a noise signal that is generated as a function of specific properties of an interference signal component of the sensor signal and/or of specific properties of a temperature signal of a temperature sensor being mixed into a useful signal component of the sensor signal.

Abstract: A method, including: obtaining, with a computer, an initial geophysical model; modeling, with a computer, a forward wavefield based on the initial geophysical model with wave equations including a second order z-derivative in a rotated coordinate system that accounts for a tilted transverse isotropic (TTI) medium; modeling, with a computer, an adjoint wavefield with adjoint wave equations including a second order z-derivative in a rotated coordinate system that accounts for a tilted transverse isotropic (TTI) medium, wherein the wave equations and the adjoint wave equations include relaxation terms accounting for anelasticity of earth in an update of a primary variable and an evolution relationship for the relaxation terms; and obtaining, with a computer, a gradient of a cost function based on a combination of a model of the forward wavefield and a model of the adjoint wavefield.

Abstract: A signal processing system includes a time domain processing module to receive samples of a range-dependent time domain baseband signal in a frequency modulated continuous wave (FMCW) LIDAR system, and to generate and select time domain subband signals based on time domain subband selection criteria, a time domain to frequency domain converter coupled with the time domain processing module, to generate range-dependent frequency outputs from the selected time domain subbands, and a frequency domain processing module coupled with the time domain to frequency domain converter, to generate and select frequency domain subbands based on frequency domain subband collection criteria, and to detect energy peaks corresponding to target ranges in the field of view of the LIDAR system.

Abstract: A method for evaluating damage degree and a system for implementing the same. A polygonal line including a first break point, a second break point, and a maximum response point is determined from a performance curve of each layer of a building. A maximum interlayer deformation angle of each layer is calculated from a maximum interlayer displacement of each layer and its corresponding interlayer height. A safety margin of each layer is calculated from the maximum interlayer deformation angle and a safety limit deformation angle, safety margins are compared, and one polygonal line having the smallest safety margin is selected. A safety limit point is calculated using the polygonal line selected. Damage degree categories are defined using the first break point, the second break point, and the safety limit point. One damage degree category, to which the maximum response point corresponds, is decided out of the damage degree categories.

Abstract: A method for generating a multi-layer predictive model includes collecting historical observable data from one or more pieces of equipment of a same type, wherein the historical observable data is collected at different hierarchical levels of the one or more pieces of equipment; collecting operational state indications of the pieces of equipment corresponding to the collected historical observable data; generating, from the collected historical observable data, a set of operational state models, wherein each operational state model corresponds to one of the different hierarchical levels; and generating, from outputs of the set of operational state models, a top-level operational model for the piece of equipment. The top-level operational model is operable to determine maintenance and replacement timing for the piece of equipment.

Abstract: System and method for providing electric utilities and utility benchmarking organizations with an integrated real-time outage analytics and benchmarking solution. The system includes a powerful data importing apparatus that allows uploading of outage data from the utilities outage databases, confidential aggregation of utility outage data, real-time comparison of reliability metrics, real-time outage analytics and messaging capabilities. The system includes a communication link for receiving raw outage data uploaded from the outage management systems of participating utilities which couples the data to an analytics server which automatically recalculates standard reliability indices and analytics in real-time. A database server aggregates and stores the data and indices. The analytics server makes data and reports available to user utilities in real-time via the internet while using a unique ID for each user utility to maintain user anonymity and data confidentiality.

Abstract: A monitoring system includes an axle weight measurer and a state estimator. The axle weight measurer detects a surface displacement of a road from a first captured image obtained by imaging the road when a vehicle passes at a predetermined spot of a structure having the road that the vehicle passes, and calculates an axle weight of the vehicle from the surface displacement and a displacement coefficient of the road. The state estimator generates an axle weight distribution from the axle weight calculated by the axle weight measurer, and estimates a deterioration degree of the structure, using the axle weight distribution.

Abstract: Systems and methods for prediction of state of charge (SOH), state of health (SOC) and other characteristics of batteries using acoustic signals, includes determining acoustic data at two or more states of charge and determining a reduced acoustic data set representative of the acoustic data at the two or more states of charge. The reduced acoustic data set includes time of flight (TOF) shift, total signal amplitude, or other data points related to the states of charge. Machine learning models use at least the reduced acoustic dataset in conjunction with non-acoustic data such as voltage and temperature for predicting the characteristics of any other independent battery.

Abstract: A metering system includes a plurality of metering elements that are independently controllable. A calibration method of the present disclosure includes generating calibration factors for the individual metering elements. Also, a method of the present disclosure includes operating the metering elements according to the respective calibration factor.

Abstract: Safety monitoring systems and methods include a mesh communications network and an EVC (Electronic Volume Corrector) installed in one or more gas distribution components and/or industrial metering components in a gas distribution station and/or an industrial metering station. A group of sensors can be configured, which includes, for example, a gas leak sensor, a pressure transducer, a temperature transducer, an intrusion sensor and/or other types of sensors. Such sensors can be located within the gas distribution station and/or industrial metering station. The sensors communicate wirelessly with the EVC and the gas distribution and/or industrial metering components through the mesh communications network.

Abstract: A method for determining power output levels of a plurality of nodes in an electric power system includes receiving, at a first node of the plurality of nodes, voltage information and multipliers of all neighboring nodes of the first node within the electric power system, determining, by the first node, a local power generation and a local voltage using the voltage information and the multipliers of the neighboring nodes and distributing the local power generation and the local voltage to the neighboring nodes, determining, by the first node, an estimated voltage of each of the neighboring nodes and distributing the estimated voltage to each of the neighboring nodes, and updating, by the first node, a local multiplier using the voltage information received from the neighboring nodes and the estimated voltage of each of the neighboring nodes determined by the node.

Abstract: A method for detecting an operational status of a battery including a plurality of cells includes obtaining static voltages and dynamic voltages of the cells and determining the operational status of the battery based on the static voltages and dynamic voltages.

Abstract: The disclosed technology relates to a method of selecting a material composition and/or designing an alloy. In one aspect, a method of selecting a composition of a material having a target property comprises receiving an input comprising thermodynamic phase data for a plurality of materials. The method additionally includes extracting from the thermodynamic phase data a plurality of thermodynamic quantities corresponding to each of the materials by a computing device. The extracted thermodynamic quantities are predetermined to have correlations to microstructures associated with physical properties of the material. The method additionally includes storing the extracted thermodynamic quantities in a computer-readable medium. The method further includes electronically mining the stored thermodynamic quantities using the computing device to rank at least a subset of the materials based on a comparison of at least a subset of the thermodynamic quantities that are correlated to the target property.

Abstract: A method is used to control a fuel level gauge of a vehicle system and includes: monitoring, via an engine controller, a fuel economy of the vehicle system; comparing, via the engine controller, the fuel economy with a predetermined fuel economy threshold to determine whether the fuel economy is less than the predetermined fuel economy threshold; adjusting, via the engine controller, a sensitivity of a display filter in response to determining that the fuel economy is less than the predetermined fuel economy threshold for a predetermined amount of time in order to maximize an accuracy of the fuel level gauge, wherein the display filter smoothes an unfiltered fuel level signal received from a fuel level sensor of the vehicle system, thereby generating a filtered fuel level signal; and controlling, via an instrument panel controller, the fuel level gauge of the vehicle system.

Abstract: Computing systems and methods for geosciences collaboration are disclosed. In one embodiment, a method for geosciences collaboration includes obtaining a first set of geosciences information from a first computer system of the plurality of computer systems; distributing the first set of geosciences information from the first computer system to at least a second computer system; receiving a user input from the second computer system of the plurality of computer systems, the user input entered manually by a user; providing the user input to the first computer system; in response to providing the user input to the first computer system, receiving a revised set of geosciences information from the first computer system; and repeating the receiving a user input, the providing the user input, and the receiving the revised set of geosciences information until the revised set of geosciences information is determined to satisfy accuracy criteria.

Abstract: An example method for identifying an internal flaw in a part produced using additive manufacturing includes calculating a proof load of a part, in which the proof load is a load that when applied to the part will cause the part to fail based on presence of an internal flaw in the part, determining whether the part can withstand the proof load based on a geometry of the part and static strength data, and based on a determination that the part can withstand the proof load, applying the proof load to the part during a compliance test of the part. The proof load causes the part to fracture, when applied to the part, based on presence of the internal flaw in the part that is of a threshold size at which the internal flaw would cause cracking and potential part failure when the part is placed under the operational load.

Abstract: The present disclosure includes a method for combining controlled and uncontrolled seismic data. The method includes accessing one or more controlled signals, each controlled signal associated with a respective receiver of a plurality of receivers. The method also includes accessing one or more uncontrolled signals, each uncontrolled signal associated with a respective receiver of the plurality of receivers. The method also includes generating one or more reconstructed signals based on the one or more uncontrolled signals. The method also includes generating a composite image based at least on the one or more controlled signals and the one or more reconstructed signals. The present disclosure may also include associated systems and apparatuses.