Abstract: A method includes steps: 1) obtaining monitoring information of different monitoring points in normal state of power equipment; 2) setting faults and obtaining monitoring information of different fault types, positions, monitoring points of the equipment; 3) taking the monitoring information obtained in steps 1) to 2) as training dataset, taking the fault types and positions as labels, inputting the training dataset and the labels to deep CNN for training; 4) collecting monitoring data, performing verification and classification using step 3), obtaining probability values corresponding to each of the labels; 5) taking classification results of different labels as basic probability assignment values, with respect to a monitoring system composed of multiple sensors, taking different sensors as different evidences for decision fusion, performing fusion processing using the DS evidence theory to obtain fault diagnosis result.

Abstract: A device includes sensing circuitry, compression circuitry, and a memory. The sensing circuitry, in operation, generates sensor data. The compression circuitry is coupled to the sensing circuitry, and, in operation, determines environmental contexts based on variation rates of sensor data and compresses sensor data based on determined environmental contexts. The compressed data is stored in the memory.

Abstract: The present invention provides a method, system and storage medium for load dispatch optimization for residential microgrid. The method includes collecting environmental data and time data of residential microgrid in preset future time period; obtaining power load data of residential microgrid in future time period by inputting environmental data and time data into pre-trained load forecasting model; obtaining photovoltaic output power data of residential microgrid in future time period by inputting environmental data and time data into pre-trained photovoltaic output power forecasting model; determining objective function and corresponding constraint condition of residential microgrid in future time period, where optimization objective of objective function is to minimize total cost of residential microgrid; obtaining load dispatch scheme of residential microgrid in future time period by solving objective function with particle swarm algorithm.

Abstract: A method for seismic loss assessment including receiving by a computer system computer-readable input data regarding a seismic hazard and building conditions, generating by the computer system one or more mitigation options and for each of the mitigation options, configuring the computer system to: determine a structural response, determine damage states from the structural response, determine an outcome of each of the damage states; and, output a representation of each of the outcomes for each of the damage states. The output is used in a seismic risk mitigation plan and/or design for one or more building structures.

Abstract: Exemplary systems and methods are disclosed for allocating resources in a breeding pipeline to multiple origins. One exemplary method includes accessing a data structure including data representative of multiple origins, in which the data includes, for each of the multiple origins, a trait performance expression or genotypic component information. The exemplary method further includes determining a resource allocation, which allocates n resources among the multiple origins based on a probability associated with the trait performance expressions and/or the genotypic components for the origins, and then allocating the n resources in the breeding pipeline for the multiple origins, based on the determined resource allocation.

Abstract: A method is provided in the present disclosure. The method includes several operations: generating, by a processing unit, a mapping table associated with multiple scan chains and multiple shift cycles corresponding to multiple values stored in the scan chains in an integrated circuit; determining, based on the mapping table, at least one fail flip flop in the scan chains in response to the values outputted from the scan chains; and identifying at least one fault site corresponding to the at least one fail flip flop.

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: A system combines contributions from various sensors to obtain an object's position, velocity, or orientation.

Abstract: Individual health related events (e.g., handwashing events) can be detected based on multiple sensors including motion and audio sensors. Detecting a qualifying handwashing event can include detecting a qualifying scrubbing event based on motion data (e.g., accelerometer data) and a qualifying rinsing event based on audio data. In some examples, power consumption can be reduced by implementing one or more power saving mitigations.

Abstract: A spreader system for use in an agricultural harvester having a threshing system and a cleaning system. The spreader system includes a chopper for the chopping of straw from the threshing system and a chaff spreader system and a straw spreader system. The chaff spreader system is configured to receive a flow of chaff from the cleaning system; and the straw spreader system is configured to receive a flow of straw from the chopper. The chaff spreader system is configured to emit a chaff airflow stream in a first flow path, and the straw spreader system is configured to emit a straw airflow stream in a second flow path. The first flow path and the second flow path intersect at a place of confluence apart from the chaff spreader system and the straw spreader system.

Abstract: A method for setting a wellbore casing in a subterranean formation is described. The method includes: drilling a test wellbore in the subterranean formation; generating a density profile of a plurality of geological layers above a salt formation in the subterranean formation based on observations from the test wellbore; calculating an overburden stress imposed on the salt formation by weight of overlying formation based on the density profile of the plurality of geological layers; performing creep mechanical behavior tests on core samples from the salt formation to generate a strain-time curve for the salt formation; calibrating multiple analytical creep models with mechanical properties of the salt data generated by the creep mechanical behavior tests; implementing a wellbore closure model based on a best-fit analytical model and mechanical properties of the multiple analytical creep models; drilling a well; and setting a casing through the salt formation.

Abstract: Methods are provided for determining a depositional environment of a sample of a subterranean environment. An example method includes measuring intensities for a crystallographic plane (CP) 100 peak and a CP 101 peak for quartz in a diffractogram, calculating a ratio of the intensities of the CP 100 peak to the CP 101 peak, and identifying a depositional environment for the sample from the ratio.

Abstract: A spreader system of an agricultural vehicle for spreading crop residue over a field includes a first spreader device including a plurality of first paddles configured to rotate about a first axis to define a first spread path; and a second spreader device including a plurality of second paddles configured to rotate about a second axis to define a second spread path. The second spreader device and the first spreader device are located side-by-side. The spreader system further includes deflector that include a first deflector portion for deflecting the first spread path and a second deflector portion for deflecting the second spread path. The spreader further includes a deflector driver connected to the deflector. The deflector driver is configured to move the first deflector portion and the second deflector portion of the deflector in a direction generally parallel to the first axis or the second axis in an oscillating pattern.

Abstract: A computer implemented method for analyzing a reservoir grid modeling a reservoir geological formation is provided in which the reservoir grid corresponds to a 3D grid of cells associated to respective values of at least one geological property. The method includes obtaining a 4D seismic image of the reservoir geological formation. A skeleton of the 4D seismic image is calculated, and the skeleton extends between at least one origin and a plurality of extremities. Each point of the skeleton is associated to a value of the at least one geological property of the reservoir grid. Flow time values are calculated for a fluid flowing from the origin to the extremities along the skeleton, based on the at least one geological property values associated to the points of the skeleton. The reservoir grid is calculated based on the flow time values.

Abstract: A flow metering system includes a flow meter coupled to a plurality of sensors and configured to measure volume of fluid flowing through the flow meter. The system also includes a metrology computer coupled to the flow meter and the sensors. The metrology computer is configured to receive live values from a plurality of sensors during a first time period, train an artificial intelligence engine based on the live values received during the first time period, and detect a sensor failure based on a deviation between a live value from the sensor and a predicted value for the sensor. The predicted value is based on live values from other of the plurality of sensors and the artificial intelligence engine.

Abstract: The present disclosure relates generally to the field of drilling operations. More particularly, the present disclosure relates to methods for drilling wells utilizing drilling equipment, more particularly drill string assemblies, and making adjustments to drilling parameters during the drilling operation based on analysis of the drilling data. Included are methods for the selection of modified drilling parameters to mitigate torsional vibration dysfunction.

Abstract: A method for determining a speed using a measurement-sensor in a vehicle, the measurement-sensor including at least one coil and a ferromagnetic-transmitter-element, including: changing the inductance of the coil, using an inductive-speed-sensor having at least the coil and the ferromagnetic-transmitter-element; recording a change in the coil inductance, and determining the speed based on the changed coil inductance; in which in each case one inductive-speed-sensor is a wheel-speed-sensor for at least two vehicle wheels, and in which a reversal of the direction of movement of the ferromagnetic-transmitter-element as to the coil or a reversal of the direction of travel of the vehicle from forward travel to reverse travel or from reverse travel to forward travel is recognized based on at least one temporal-phase-offset of the temporal-profiles of the inductances recorded by the wheel-speed-sensors of the at least two wheels. Also described is a related driver assistance system and vehicle.

Abstract: A system and method for adaptive diagnostics and data collection in a connected robot-cloud environment allows for the management and use of date from a robot or fleet of robots to ensure the efficient utilization thereof. The data is collected from the robots via a software agent and is transmitted to an interface that allows action from an end-user.

Abstract: A sensing system including multiple sensor node devices and an analysis device, wherein: each of the multiple sensor node devices has a sensor that measures a measurement target and acquires data values, a learning unit that, based on the data values, learns a model used to estimate the data values at an installation position of the sensor, and a communication unit that transmits learning result data indicating a learning result from the learning unit; and the analysis device has a spatial analysis unit that estimates a spatial distribution of the data values based on the learning result data from each of the multiple sensor node devices and the installation positions of the respective sensor node devices.

Abstract: Methods and systems that provide one or more recommended configurations to planners using large data sets in an efficient manner. These methods and systems provide optimization of objectives using a genetic algorithm that can provide parameter recommendations that optimize one or more objectives in an efficient and timely manner. The methods and systems disclosed herein are flexible enough to satisfy diverse use cases.